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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 75 occurrences of 61 keywords
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Results
Found 572 publication records. Showing 548 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
41 | Yuxi Chen, Weiyi Meng |
Top-N Query: Query Language, Distance Function, and Processing Strategies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WAIM ![In: Advances in Web-Age Information Management, 4th International Conference, WAIM 2003, Chengdu, China, August 17-19, 2003, Proceedings, pp. 458-470, 2003, Springer, 3-540-40715-4. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
Top-N query, query processing, query language, distance function |
32 | Mohsen Jamali, Martin Ester |
Using a trust network to improve top-N recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009, pp. 181-188, 2009, ACM, 978-1-60558-435-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
top-N, trust, recommendation |
32 | Henk Ernst Blok, Arjen P. de Vries, Henk M. Blanken, Peter M. G. Apers |
Experiences with IR TOP N Optimization in a Main Memory DBMS: Applying 'the Database Approach' in New Domains. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BNCOD ![In: Advances in Databases, 18th British National Conference on Databases, BNCOD 18, Chilton, UK, July 9-11, 2001, Proceedings, pp. 126-151, 2001, Springer, 3-540-42265-X. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
top-N, multimedia, databases, indexing, query optimization, content based retrieval |
28 | Klaus Seyerlehner, Arthur Flexer, Gerhard Widmer |
On the limitations of browsing top-N recommender systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009, pp. 321-324, 2009, ACM, 978-1-60558-435-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
catalog coverage, top-N recommender systems, browsing, reachability, long tail |
21 | Mi Zhang 0001 |
Enhancing diversity in Top-N recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009, pp. 397-400, 2009, ACM, 978-1-60558-435-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Top-N recommendation, evaluation, diversity, strategy |
20 | Lingpeng Yang, Dong-Hong Ji, Nie Yu, Guodong Zhou |
Document Re-ordering Based on Key Terms in Top Retrieved Documents. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CICLing ![In: Computational Linguistics and Intelligent Text Processing, 6th International Conference, CICLing 2005, Mexico City, Mexico, February 13-19, 2005, Proceedings, pp. 572-583, 2005, Springer, 3-540-24523-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
20 | Lingpeng Yang, Dong-Hong Ji, Guodong Zhou, Nie Yu |
Improving Retrieval Effectiveness by Using Key Terms in Top Retrieved Documents. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECIR ![In: Advances in Information Retrieval, 27th European Conference on IR Research, ECIR 2005, Santiago de Compostela, Spain, March 21-23, 2005, Proceedings, pp. 169-184, 2005, Springer, 3-540-25295-9. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
20 | Lei Shi 0001, Zhimin Gu, Lin Wei, Yun Shi |
Quantitative Analysis of Zipf's Law on Web Cache. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISPA ![In: Parallel and Distributed Processing and Applications, Third International Symposium, ISPA 2005, Nanjing, China, November 2-5, 2005, Proceedings, pp. 845-852, 2005, Springer, 3-540-29769-3. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Zipf’s law, Top-N, Web Cache, Web Prefetching |
19 | Keisuke Ishibashi, Tatsuya Mori, Ryoichi Kawahara, Yutaka Hirokawa, Atsushi Kobayashi, Kimihiro Yamamoto, Hitoaki Sakamoto |
Estimating Top N Hosts in Cardinality Using Small Memory Resources. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDE Workshops ![In: Proceedings of the 22nd International Conference on Data Engineering Workshops, ICDE 2006, 3-7 April 2006, Atlanta, GA, USA, pp. 29, 2006, IEEE Computer Society, 0-7695-2571-7. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
19 | Huseyin Polat 0001, Wenliang Du |
Privacy-Preserving Top-N Recommendation on Horizontally Partitioned Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Web Intelligence ![In: 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 19-22 September 2005, Compiegne, France, pp. 725-731, 2005, IEEE Computer Society, 0-7695-2415-X. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
19 | Liang Zhu, Weiyi Meng |
Learning-Based Top-N Selection Query Evaluation over Relational Databases. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WAIM ![In: Advances in Web-Age Information Management: 5th International Conference, WAIM 2004, Dalian, China, July 15-17, 2004, pp. 197-207, 2004, Springer, 3-540-22418-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
19 | Wen Jin, Anthony K. H. Tung, Jiawei Han 0001 |
Mining top-n local outliers in large databases. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001, pp. 293-298, 2001, ACM, 1-58113-391-X. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
17 | Franziska Scherpinski, Stefan Lessmann |
Personalization in E-Grocery: Top-N versus Top-k Rankings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2105.14599, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
17 | Mejdl S. Safran, Dunren Che |
Efficient Learning-Based Recommendation Algorithms for Top-N Tasks and Top-N Workers in Large-Scale Crowdsourcing Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Inf. Syst. ![In: ACM Trans. Inf. Syst. 37(1), pp. 2:1-2:46, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Wissem Labbadi, Jalel Akaichi |
Efficient Top-k Query Answering through its Top-N Rewritings Using Views. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PIKM@CIKM ![In: Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, PIKM 2015, Melbourne, Australia, October 19, 2015, pp. 35-42, 2015, ACM, 978-1-4503-3782-3. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP BibTeX RDF |
|
17 | Arbee L. P. Chen |
On top-n reverse top-k queries: Variants, algorithms, and applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GrC ![In: 2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011, pp. 2, 2011, IEEE Computer Society, 978-1-4577-0372-0. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
15 | Yoshiaki Okubo, Makoto Haraguchi |
Finding Top-N Pseudo Formal Concepts with Core Intents. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLDM ![In: Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings, pp. 479-493, 2009, Springer, 978-3-642-03069-7. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
15 | Sebastián Peña Saldarriaga, Emmanuel Morin, Christian Viard-Gaudin |
Using top n Recognition Candidates to Categorize On-line Handwritten Documents. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDAR ![In: 10th International Conference on Document Analysis and Recognition, ICDAR 2009, Barcelona, Spain, 26-29 July 2009, pp. 881-885, 2009, IEEE Computer Society, 978-0-7695-3725-2. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
15 | Jae-Jin Kim, Bon-Woo Hwang, Seong-Whan Lee |
Retrieval of the Top N Matches with Support Vector Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 15th International Conference on Pattern Recognition, ICPR'00, Barcelona, Spain, September 3-8, 2000., pp. 2716-2719, 2000, IEEE Computer Society, 0-7695-0750-6. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
12 | Xavier Amatriain, Neal Lathia, Josep M. Pujol, Haewoon Kwak, Nuria Oliver |
The wisdom of the few: a collaborative filtering approach based on expert opinions from the web. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGIR ![In: Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, July 19-23, 2009, pp. 532-539, 2009, ACM, 978-1-60558-483-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
top-n recommendations, recommender system, collaborative filtering, nearest neighbors, experts, cosine similarity |
12 | Liang Zhu, Chunnian Liu, Yanchao Feng, Shenda Ji |
Evaluation of a Stream of Top-N Selection Queries in Relational Databases. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WAIM ![In: The Ninth International Conference on Web-Age Information Management, WAIM 2008, July 20-22, 2008, Zhangjiajie, China, pp. 246-253, 2008, IEEE Computer Society, 978-0-7695-3185-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
12 | YoungOk Kwon |
Improving top-n recommendation techniques using rating variance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: Proceedings of the 2008 ACM Conference on Recommender Systems, RecSys 2008, Lausanne, Switzerland, October 23-25, 2008, pp. 307-310, 2008, ACM, 978-1-60558-093-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
rating variance, recommendation filtering, recommendation ranking, diversity, accuracy |
12 | Aixiang Li, Makoto Haraguchi, Yoshiaki Okubo |
Implicit Groups of Web Pages as Constrained Top N Concepts. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Web Intelligence/IAT Workshops ![In: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, 9-12 December 2008, Sydney, NSW, Australia, pp. 190-194, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
12 | Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen 0001 |
Mining Top-n Local Outliers in Constrained Spatial Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings, pp. 725-732, 2008, Springer, 978-3-540-88191-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
12 | James Zijun Wang, Zhidian Du, Philip S. Yu, Chin-Fu Chen |
An Efficient Online Tool to Search Top-N Genes with Similar Biological Functions in Gene Ontology Database. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBM ![In: Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007, Silicon Valley, CA, USA, November 2-4, 2007, pp. 406-411, 2007, IEEE Computer Society, 0-7695-3031-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
12 | Makoto Haraguchi, Yoshiaki Okubo |
An Extended Branch and Bound Search Algorithm for Finding Top- N Formal Concepts of Documents. ![Search on Bibsonomy](Pics/bibsonomy.png) |
JSAI ![In: New Frontiers in Artificial Intelligence, JSAI 2006 Conference and Workshops, Tokyo, Japan, June 5-9 2006, Revised Selected Papers, pp. 276-288, 2006, Springer, 3-540-69901-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
12 | Yoshiaki Okubo, Makoto Haraguchi |
Finding Conceptual Document Clusters with Improved Top-N Formal Concept Search. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Web Intelligence ![In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 18-22 December 2006, Hong Kong, China, pp. 347-351, 2006, IEEE Computer Society, 0-7695-2747-7. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
12 | Yoshiaki Okubo, Makoto Haraguchi |
Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted Cliques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Discovery Science ![In: Discovery Science, 6th International Conference, DS 2003, Sapporo, Japan, October 17-19,2003, Proceedings, pp. 418-425, 2003, Springer, 3-540-20293-5. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
10 | Mi Zhang 0001, Neil Hurley |
Avoiding monotony: improving the diversity of recommendation lists. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: Proceedings of the 2008 ACM Conference on Recommender Systems, RecSys 2008, Lausanne, Switzerland, October 23-25, 2008, pp. 123-130, 2008, ACM, 978-1-60558-093-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
recommender system, metrics, diversity, accuracy, novelty |
8 | Shih-Han Chen, Sok-Ian Sou, Hsun-Ping Hsieh |
Top-N music recommendation framework for precision and novelty under diversity group size and similarity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Inf. Syst. ![In: J. Intell. Inf. Syst. 62(1), pp. 1-26, February 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
8 | Lukas Wegmeth, Tobias Vente, Lennart Purucker |
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2401.08444, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
8 | Benedikt Hornig, Maria Soledad Pera, Jan Scholtes |
Misinformation in video recommendations: an exploration of top-n tecommendation algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ROMCIR@ECIR ![In: Proceedings of the 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval co-located with the 46th European Conference on Information Retrieval, ROMCIR@ECIR 2024, Glasgow, UK, March 24, 2024., pp. 54-67, 2024, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
8 | Lukas Wegmeth, Tobias Vente, Lennart Purucker |
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECIR (1) ![In: Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I, pp. 140-156, 2024, Springer, 978-3-031-56026-2. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
8 | Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller |
Methods for explaining Top-N recommendations through subgroup discovery. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data Min. Knowl. Discov. ![In: Data Min. Knowl. Discov. 37(2), pp. 833-872, March 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Aleksandra Klasnja-Milicevic, Dejan Milicevic |
Top-N Knowledge Concept Recommendations in MOOCs Using a Neural Co-Attention Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 11, pp. 51214-51228, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Victor Coscrato, Derek G. Bridge |
Estimating and Evaluating the Uncertainty of Rating Predictions and Top-n Recommendations in Recommender Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Trans. Recomm. Syst. ![In: Trans. Recomm. Syst. 1(2), pp. 1-34, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang 0009, Ji-Rong Wen |
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Inf. Syst. ![In: ACM Trans. Inf. Syst. 41(2), pp. 32:1-32:41, April 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Hui Wang 0072, Kun Zhou 0002, Xin Zhao 0018, Jingyuan Wang, Ji-Rong Wen |
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Inf. Syst. ![In: ACM Trans. Inf. Syst. 41(1), pp. 19:1-19:28, January 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | P. Bhuvaneshwari, A. Nagaraja Rao, Y. Harold Robinson |
Top-N Recommendation System Using Explicit Feedback and Outer Product Based Residual CNN. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Wirel. Pers. Commun. ![In: Wirel. Pers. Commun. 128(2), pp. 967-983, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | P. Bhuvaneshwari, A. Nagaraja Rao, Y. Harold Robinson |
Correction to: Top-N Recommendation System Using Explicit Feedback and Outer Product Based Residual CNN. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Wirel. Pers. Commun. ![In: Wirel. Pers. Commun. 128(2), pp. 985, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Yankai Chen 0001, Yixiang Fang, Yifei Zhang, Irwin King |
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2304.00241, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko |
On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-n Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2307.15053, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Ming-Hao Juan, Pu-Jen Cheng, Hui-Neng Hsu, Pin-Hsin Hsiao |
Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2305.12976, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Ngozi Ihemelandu, Michael D. Ekstrand |
Candidate Set Sampling for Evaluating Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2309.11723, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Edoardo D'Amico, Aonghus Lawlor, Neil Hurley |
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2305.18374, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | En Xu, Zhiwen Yu 0001, Ying Zhang 0047, Bin Guo 0001, Lina Yao 0001 |
Limits of Predictability in Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2303.13091, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Min-Ji Seo, Myung-Ho Kim |
Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Interact. Multim. Artif. Intell. ![In: Int. J. Interact. Multim. Artif. Intell. 8(4), pp. 56, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Hakan Yilmazer, Selma Ayse Özel |
ImposeSVD: Incrementing PureSVD For Top-N Recommendations for Cold-Start Problems and Sparse Datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. J. ![In: Comput. J. 66(11), pp. 2595-2622, November 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Yankai Chen 0001, Yixiang Fang, Yifei Zhang, Irwin King |
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WWW ![In: Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, pp. 3164-3172, 2023, ACM, 978-1-4503-9416-1. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Wei Liu 0061, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin 0001 |
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DASFAA (2) ![In: Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part II, pp. 563-573, 2023, Springer, 978-3-031-30671-6. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen 0017 |
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, pp. 200-210, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Yang Liu 0254, Alan Medlar, Dorota Glowacka |
On the Consistency, Discriminative Power and Robustness of Sampled Metrics in Offline Top-N Recommender System Evaluation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023, pp. 1152-1157, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Edoardo D'Amico, Aonghus Lawlor, Neil Hurley |
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD (3) ![In: Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III, pp. 310-321, 2023, Springer, 978-3-031-33379-8. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Ngozi Ihemelandu, Michael D. Ekstrand |
Candidate Set Sampling for Evaluating Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WI/IAT ![In: IEEE International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023, Venice, Italy, October 26-29, 2023, pp. 88-94, 2023, IEEE, 979-8-3503-0918-8. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Jie Zhou |
Collaborative information and semantic information Fusion over Heterogeneous information Network for Top-N Recommendation System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CCRIS ![In: Proceedings of the 2023 4th International Conference on Control, Robotics and Intelligent System, CCRIS 2023, Guangzhou, China, August 25-27, 2023, pp. 47-52, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
8 | Tugba Turkoglu Kaya, Cihan Kaleli |
A novel top-n recommendation method for multi-criteria collaborative filtering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Expert Syst. Appl. ![In: Expert Syst. Appl. 198, pp. 116695, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | YeongWook Yang, Jaechoon Jo, Heuiseok Lim |
Unifying user preference and item knowledge-based similarity models for top-N recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pers. Ubiquitous Comput. ![In: Pers. Ubiquitous Comput. 26(2), pp. 407-416, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Lifang Ren, Wenjian Wang |
A Granular SVM-Based Method for Top-N Web Services Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Serv. Comput. ![In: IEEE Trans. Serv. Comput. 15(1), pp. 457-469, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Sofia Aftab, Heri Ramampiaro |
Evaluating Top-N Recommendations Using Ranked Error Approach: An Empirical Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 10, pp. 30832-30845, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Bharti Sharma, Adeel Hashmi, Charu Gupta, Osamah Ibrahim Khalaf, Ghaida Muttashar Abdulsahib, Malakeh Muhyiddeen Itani |
Hybrid Sparrow Clustered (HSC) Algorithm for Top-N Recommendation System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Symmetry ![In: Symmetry 14(4), pp. 793, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Jae-woong Lee, Minjin Choi 0001, Lee Sael, Hyunjung Shim, Jongwuk Lee |
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Inf. Syst. ![In: Knowl. Inf. Syst. 64(5), pp. 1323-1348, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Songyang Li, Haipeng Yu, Miao Wang |
Cat swarm optimization algorithm based on the information interaction of subgroup and the top-N learning strategy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Syst. ![In: J. Intell. Syst. 31(1), pp. 489-500, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta |
Semantic Interpretation of Top-N Recommendations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 34(5), pp. 2416-2428, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo |
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2203.01155, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Parshin Shojaee, Xiaoyu Chen, Ran Jin |
Adaptively Weighted Top-N Recommendation for Organ Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Comput. Heal. ![In: ACM Trans. Comput. Heal. 3(1), pp. 9:1-9:29, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Ngozi Ihemelandu |
Best Practices for Top-N Recommendation Evaluation: Candidate Set Sampling and Statistical Inference Techniques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIKM ![In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, pp. 5120-5123, 2022, ACM, 978-1-4503-9236-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo |
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. ![Search on Bibsonomy](Pics/bibsonomy.png) |
UMAP ![In: UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4 - 7, 2022, pp. 121-131, 2022, ACM, 978-1-4503-9207-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Yunfei Zheng, Yuxiang Zhang 0002, Jianhua Zhang 0001, Liang Xia, Tao Jiang 0025 |
ResNet-Based Top-N Transmit Antenna Selection Algorithm for Massive MIMO Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VTC Spring ![In: 95th IEEE Vehicular Technology Conference, VTC Spring 2022, Helsinki, Finland, June 19-22, 2022, pp. 1-5, 2022, IEEE, 978-1-6654-8243-1. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini |
Logic Tensor Networks for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeSy ![In: Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), Cumberland Lodge, Windsor Great Park, UK, September 28-30, 2022., pp. 1-14, 2022, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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8 | Yifei Zhou, Conor Hayes |
Graph-Based Diffusion Method for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AICS ![In: Artificial Intelligence and Cognitive Science - 30th Irish Conference, AICS 2022, Munster, Ireland, December 8-9, 2022, Revised Selected Papers, pp. 292-304, 2022, Springer, 978-3-031-26437-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Gang Tian, Qiuyue Yu, Hongjuan Yang, Rui Wang 0082 |
A Smart Contract Top-N Recommendation Method Based on Implicit Feedback. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RICAI ![In: Proceedings of the 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022, Dongguan, China, December 16-18, 2022., pp. 1016-1020, 2022, ACM, 978-1-4503-9834-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Lien Michiels, Robin Verachtert, Bart Goethals |
RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022, pp. 648-651, 2022, ACM, 978-1-4503-9278-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara |
Retrieving Top-N Weighted Spatial k-cliques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Big Data ![In: IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pp. 4952-4961, 2022, IEEE, 978-1-6654-8045-1. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Yang Sun, Fajie Yuan, Min Yang 0007, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao 0005 |
Enhancing Top-N Item Recommendations by Peer Collaboration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGIR ![In: SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, pp. 1895-1900, 2022, ACM, 978-1-4503-8732-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Xiaoming Liu 0011, Shaocong Wu, Zhaohan Zhang, Chao Shen 0001 |
Unify Local and Global Information for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGIR ![In: SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, pp. 1262-1272, 2022, ACM, 978-1-4503-8732-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli |
Conditioned Variational Autoencoder for Top-N Item Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (2) ![In: Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II, pp. 785-796, 2022, Springer, 978-3-031-15930-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini |
Logic Tensor Networks for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AI*IA ![In: AIxIA 2022 - Advances in Artificial Intelligence - XXIst International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022, Udine, Italy, November 28 - December 2, 2022, Proceedings, pp. 110-123, 2022, Springer, 978-3-031-27180-9. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Clément Vignac, Pascal Frossard |
Top-N: Equivariant Set and Graph Generation without Exchangeability. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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8 | Fangyuan Luo, Jun Wu 0007, Tao Wang |
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCAI ![In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022., pp. 2159-2165, 2022, ijcai.org. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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8 | Tugba Turkoglu Kaya |
Çok ölçütlü oy değerleri üzerinde en iyi-N öneri sistemi ve şilin atakların etkisi (Top-N recommender system and effect of shilling attack onmulti-criteria rating values) ![Search on Bibsonomy](Pics/bibsonomy.png) |
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2022 |
RDF |
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8 | Mukul Gupta, Rajhans Mishra |
Spreading the information in complex networks: Identifying a set of top-N influential nodes using network structure. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Decis. Support Syst. ![In: Decis. Support Syst. 149, pp. 113608, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Walaa Hassan Elashmawi, Ahmed Fouad Ali, Adam Slowik |
Hybrid crow search and uniform crossover algorithm-based clustering for top-N recommendation system. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 33(12), pp. 7145-7164, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Liang Zhang, Liang Zhang 0030 |
Top-N recommendation algorithm integrated neural network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 33(9), pp. 3881-3889, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Caihong Liu, Chonghui Guo |
Mining top-N high-utility operation patterns for taxi drivers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Expert Syst. Appl. ![In: Expert Syst. Appl. 170, pp. 114546, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Wang Zhou 0001, Yujun Yang, Yajun Du, Amin Ul Haq |
Pairwise deep learning to rank for top-N recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Fuzzy Syst. ![In: J. Intell. Fuzzy Syst. 40(6), pp. 10969-10980, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Ethem Çanakoglu, Ibrahim Muter, Tevfik Aytekin |
Integrating Individual and Aggregate Diversity in Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
INFORMS J. Comput. ![In: INFORMS J. Comput. 33(1), pp. 300-318, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Wang Zhou 0001, Jianping Li, Yujun Yang, Fadia Shah |
Leverage side information for top-N recommendation with latent Gaussian process. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Concurr. Comput. Pract. Exp. ![In: Concurr. Comput. Pract. Exp. 33(12), 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Jingjing Wang, Haoran Xie 0001, Fu Lee Wang, Lap-Kei Lee, Oliver Tat Sheung Au |
Top-N personalized recommendation with graph neural networks in MOOCs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Educ. Artif. Intell. ![In: Comput. Educ. Artif. Intell. 2, pp. 100010, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Zhuoyi Lin, Lei Feng 0006, Rui Yin 0002, Chi Xu, Chee Keong Kwoh 0001 |
GLIMG: Global and local item graphs for top-N recommender systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Sci. ![In: Inf. Sci. 580, pp. 1-14, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Ming-Yang Zhou 0001, Rong-Qin Xu, Zi-Ming Wang, Hao Liao |
A generic Bayesian-based framework for enhancing top-N recommender algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Sci. ![In: Inf. Sci. 580, pp. 460-477, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Nengjun Zhu, Jian Cao 0001, Xinjiang Lu, Qi Gu |
Leveraging pointwise prediction with learning to rank for top-N recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
World Wide Web ![In: World Wide Web 24(1), pp. 375-396, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Suman Banerjee 0002, Pratik Banjare, Bithika Pal, Mamata Jenamani |
A multistep priority-based ranking for top-N recommendation using social and tag information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Ambient Intell. Humaniz. Comput. ![In: J. Ambient Intell. Humaniz. Comput. 12(2), pp. 2509-2525, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Shanmugasundaram Abinaya, M. K. Kavitha Devi |
Enhancing Top-N Recommendation Using Stacked Autoencoder in Context-Aware Recommender System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Process. Lett. ![In: Neural Process. Lett. 53(3), pp. 1865-1888, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang 0001 |
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Inf. Syst. ![In: ACM Trans. Inf. Syst. 39(2), pp. 13:1-13:38, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Wanqi Ma, Xiaoxiao Liao, Wei Dai, Weike Pan, Zhong Ming 0001 |
Holistic Transfer to Rank for Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Interact. Intell. Syst. ![In: ACM Trans. Interact. Intell. Syst. 11(1), pp. 8:1, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
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8 | Youngjune Lee, Kee-Eung Kim |
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2109.03459, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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8 | Yang Sun, Fajie Yuan, Min Yang 0007, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao 0005 |
Enhancing Top-N Item Recommendations by Peer Collaboration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2111.00429, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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8 | Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen 0017, Xiuqiang He 0001, Jun Wang 0012 |
Top-N Recommendation with Counterfactual User Preference Simulation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2109.02444, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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8 | Zhichao Xu, Hansi Zeng, Qingyao Ai |
Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2106.09665, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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8 | John Kalung Leung, Igor Griva, William G. Kennedy |
Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2102.04447, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
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