Search results for "top-N"

Hits ?▲	Authors	Title	Venue	Year	Link
8	Evangelia Christakopoulou, George Karypis	Local Item-Item Models For Top-N Recommendation.	RecSys	2016	DBLP DOI BibTeX RDF
8	Asmaa Elbadrawy, George Karypis	Domain-Aware Grade Prediction and Top-n Course Recommendation.	RecSys	2016	DBLP DOI BibTeX RDF
8	Evgeny Frolov, Ivan V. Oseledets	Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks.	RecSys	2016	DBLP DOI BibTeX RDF
8	Serhat Peker, Altan Koçyigit	mRHR: A Modified Reciprocal Hit Rank Metric for Ranking Evaluation of Multiple Preferences in Top-N Recommender Systems.	AIMSA	2016	DBLP DOI BibTeX RDF
8	Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama 0001, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou	Scalable Online Top-N Recommender Systems.	EC-Web	2016	DBLP DOI BibTeX RDF
8	Dimitrios Rafailidis, Fabio Crestani	Collaborative Ranking with Social Relationships for Top-N Recommendations.	SIGIR	2016	DBLP DOI BibTeX RDF
8	Yao Wu, Christopher DuBois, Alice X. Zheng, Martin Ester	Collaborative Denoising Auto-Encoders for Top-N Recommender Systems.	WSDM	2016	DBLP DOI BibTeX RDF
8	Xin Xin 0003, Dong Wang 0024, Yue Ding 0001, Chen Lini	FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems.	APWeb (2)	2016	DBLP DOI BibTeX RDF
8	Feipeng Zhao, Yuhong Guo	Improving Top-N Recommendation with Heterogeneous Loss.	IJCAI	2016	DBLP BibTeX RDF
8	Athanasios N. Nikolakopoulos, John D. Garofalakis	Top-N recommendations in the presence of sparsity: An NCD-based approach.	Web Intell.	2015	DBLP DOI BibTeX RDF
8	Nima Mirbakhsh, Charles X. Ling	Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information.	ACM Trans. Knowl. Discov. Data	2015	DBLP DOI BibTeX RDF
8	Liang Zhu, Quanlong Lei, Guang Liu 0004, Feifei Liu	Processing Recommender Top-N Queries in Relational Databases.	J. Softw.	2015	DBLP DOI BibTeX RDF
8	Majda Maâtallah, Hassina Seridi-Bouchelaghem	A fuzzy hybrid approach to enhance diversity in top-N recommendations.	Int. J. Bus. Inf. Syst.	2015	DBLP DOI BibTeX RDF
8	Faris Alqadah, Chandan K. Reddy, Junling Hu, Hatim F. Alqadah	Biclustering neighborhood-based collaborative filtering method for top-n recommender systems.	Knowl. Inf. Syst.	2015	DBLP DOI BibTeX RDF
8	Ke Ji, Hong Shen 0001	Making recommendations from top-N user-item subgroups.	Neurocomputing	2015	DBLP DOI BibTeX RDF
8	Asmaa Elbadrawy, George Karypis	User-Specific Feature-Based Similarity Models for Top-n Recommendation of New Items.	ACM Trans. Intell. Syst. Technol.	2015	DBLP DOI BibTeX RDF
8	Athanasios N. Nikolakopoulos, Vassilis Kalantzis, John D. Garofalakis	EIGENREC: An Efficient and Scalable Latent Factor Family for Top-N Recommendation.	CoRR	2015	DBLP BibTeX RDF
8	Athanasios N. Nikolakopoulos, John D. Garofalakis	Top-N recommendations in the presence of sparsity: An NCD-based approach.	CoRR	2015	DBLP BibTeX RDF
8	Cyril J. Stark	Top-N recommendations from expressive recommender systems.	CoRR	2015	DBLP BibTeX RDF
8	Mingxin Gan, Le Li	Motif-Plus: incorporation of network motifs into top-n friendship recommendations.	Int. J. Reason. based Intell. Syst.	2015	DBLP DOI BibTeX RDF
8	Nitish Aggarwal, Kartik Asooja, Jyoti Jha, Paul Buitelaar	Top-N Books Recommendation using Wikipedia.	ISWC (Posters & Demos)	2015	DBLP BibTeX RDF
8	Dimitris Paraschakis, Bengt J. Nilsson, John Hollander	Comparative Evaluation of Top-N Recommenders in e-Commerce: An Industrial Perspective.	ICMLA	2015	DBLP DOI BibTeX RDF
8	Mohit Sharma 0002, Jiayu Zhou, Junling Hu, George Karypis	Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.	SDM	2015	DBLP DOI BibTeX RDF
8	Koen Verstrepen, Bart Goethals	Top-N Recommendation for Shared Accounts.	RecSys	2015	DBLP DOI BibTeX RDF
8	Daryl Lim, Julian J. McAuley, Gert R. G. Lanckriet	Top-N Recommendation with Missing Implicit Feedback.	RecSys	2015	DBLP BibTeX RDF
8	Santiago Larrain, Denis Parra, Alvaro Soto	Towards Improving Top-N Recommendation by Generalization of SLIM.	RecSys Posters	2015	DBLP BibTeX RDF
8	Ghulam Mustafa, Ingo Frommholz	Performance comparison of top N recommendation algorithms.	FGCT	2015	DBLP DOI BibTeX RDF
8	Yongli Ren, Gang Li 0009, Wanlei Zhou 0001	Modelling personal preferences for Top-N movie recommendations.	Web Intell. Agent Syst.	2014	DBLP DOI BibTeX RDF
8	Haomin Cui, Ming Zhu, Shijia Yao	Ontology-based Top-N Recommendations on New Items with Matrix Factorization.	J. Softw.	2014	DBLP DOI BibTeX RDF
8	Tevfik Aytekin, Mahmut Özge Karakaya	Clustering-based diversity improvement in top-N recommendation.	J. Intell. Inf. Syst.	2014	DBLP DOI BibTeX RDF
8	Bin Liu 0014, Jinghao Xu, Quan Zou 0001, Ruifeng Xu, Xiaolong Wang 0001, Qingcai Chen	Using distances between Top-n-gram and residue pairs for protein remote homology detection.	BMC Bioinform.	2014	DBLP DOI BibTeX RDF
8	Dongsheng Li 0002, Qin Lv, Li Shang, Ning Gu	Item-based top-N recommendation resilient to aggregated information revelation.	Knowl. Based Syst.	2014	DBLP DOI BibTeX RDF
8	Cha-Lun Li, En Tzu Wang, Guo-Jhu Huang, Arbee L. P. Chen	Top-n query processing in spatial databases considering bi-chromatic reverse k-nearest neighbors.	Inf. Syst.	2014	DBLP DOI BibTeX RDF
8	Yao Cheng, Li'ang Yin, Yong Yu 0001	LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations.	ICDM	2014	DBLP DOI BibTeX RDF
8	Santosh Kabbur, George Karypis	NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems.	ICDM Workshops	2014	DBLP DOI BibTeX RDF
8	Athanasios N. Nikolakopoulos, Maria Kalantzi, John D. Garofalakis	On the Use of Lanczos Vectors for Efficient Latent Factor-Based Top-N Recommendation.	WIMS	2014	DBLP DOI BibTeX RDF
8	Jun Zou 0005, Faramarz Fekri	On top-N recommendation using implicit user preference propagation over social networks.	ICC	2014	DBLP DOI BibTeX RDF
8	Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Eugenio Di Sciascio	Top-N Recommendations from Implicit Feedback Leveraging Linked Open Data.	IIR	2014	DBLP BibTeX RDF
8	Nicholas Ampazis, Theodoros Emmanouilidis	Exploring Semantic Features for Producing Top-N Recommendation Lists from Binary User Feedback.	SemWebEval@ESWC	2014	DBLP DOI BibTeX RDF
8	El Mehdi Rochd, Mohamed Quafafou	A Top-N Recommender Model with Partially Predefined Structure.	ICEBE	2014	DBLP DOI BibTeX RDF
8	Evangelia Christakopoulou	Moving beyond linearity and independence in top-N recommender systems.	RecSys	2014	DBLP DOI BibTeX RDF
8	Xin Liu 0027, Karl Aberer	Towards a dynamic top-N recommendation framework.	RecSys	2014	DBLP DOI BibTeX RDF
8	Fabio Aiolli	Convex AUC optimization for top-N recommendation with implicit feedback.	RecSys	2014	DBLP DOI BibTeX RDF
8	Cataldo Musto, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro	Linked Open Data-enabled Strategies for Top-N Recommendations.	CBRecSys@RecSys	2014	DBLP BibTeX RDF
8	Hastagiri P. Vanchinathan, Isidor Nikolic, Fabio De Bona, Andreas Krause 0001	Explore-exploit in top-N recommender systems via Gaussian processes.	RecSys	2014	DBLP DOI BibTeX RDF
8	Xu He, Fan Min 0001, William Zhu 0001	Top-N Recommendation Based on Granular Association Rules.	RSKT	2014	DBLP DOI BibTeX RDF
8	Evangelia Christakopoulou, George Karypis	HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems.	PAKDD (2)	2014	DBLP DOI BibTeX RDF
8	Athanasios N. Nikolakopoulos, John D. Garofalakis	NCDREC: A Decomposability Inspired Framework for Top-N Recommendation.	WI-IAT (2)	2014	DBLP DOI BibTeX RDF
8	Xiaoyu Tang, Yue Xu 0001, Shlomo Geva	Refining User and Item Profiles based on Multidimensional Data for Top-N Item Recommendation.	iiWAS	2014	DBLP DOI BibTeX RDF
8	Kejun He, Junyu Niu, Chaofeng Sha	DivRec: A Framework for Top-N Recommendation with Diversification in E-commerce.	APWeb	2014	DBLP DOI BibTeX RDF
8	Ming Hu, Huan Cui, Hong-Mei Wang, Xin-Jing Zhang	Top-N Frequent Itemsets Mining Algorithm Based on Greedy Method.	CyberC	2014	DBLP DOI BibTeX RDF
8	Guy Shani, Lior Rokach, Bracha Shapira, Sarit Hadash, Moran Tangi	Investigating confidence displays for top-N recommendations.	J. Assoc. Inf. Sci. Technol.	2013	DBLP DOI BibTeX RDF
8	Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares	Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems.	Inf. Process. Manag.	2013	DBLP DOI BibTeX RDF
8	Yue Shi 0002, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic	GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains.	CoRR	2013	DBLP BibTeX RDF
8	Yongli Ren, Gang Li 0009, Wanlei Zhou 0001	A learning method for Top-N recommendations with incomplete data.	Soc. Netw. Anal. Min.	2013	DBLP DOI BibTeX RDF
8	Thomas Stone, Weinan Zhang 0001, Xiaoxue Zhao	An empirical study of top-n recommendation for venture finance.	CIKM	2013	DBLP DOI BibTeX RDF
8	Yue Shi 0002, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic	GAPfm: optimal top-n recommendations for graded relevance domains.	CIKM	2013	DBLP DOI BibTeX RDF
8	Santosh Kabbur, Xia Ning, George Karypis	FISM: factored item similarity models for top-N recommender systems.	KDD	2013	DBLP DOI BibTeX RDF
8	Wichian Premchaiswadi, Pittaya Poompuang, Nipat Jongsawat, Nucharee Premchaiswadi	Enhancing Diversity-Accuracy Technique on User-Based Top-N Recommendation Algorithms.	COMPSAC Workshops	2013	DBLP DOI BibTeX RDF
8	Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Roberto Mirizzi	Top-N recommendations from implicit feedback leveraging linked open data.	RecSys	2013	DBLP DOI BibTeX RDF
8	David Ben-Shimon	Anytime algorithms for top-N recommenders.	RecSys	2013	DBLP DOI BibTeX RDF
8	Paolo Cremonesi, Franca Garzotto, Massimo Quadrana	Evaluating top-n recommendations "when the best are gone".	RecSys	2013	DBLP DOI BibTeX RDF
8	Ruilong Su, Li'ang Yin, Kailong Chen, Yong Yu 0001	Set-oriented personalized ranking for diversified top-n recommendation.	RecSys	2013	DBLP DOI BibTeX RDF
8	Fabio Aiolli	Efficient top-n recommendation for very large scale binary rated datasets.	RecSys	2013	DBLP DOI BibTeX RDF
8	Fangwei Hu, Yong Yu 0001	Interview process learning for top-n recommendation.	RecSys	2013	DBLP DOI BibTeX RDF
8	Zhengyang Li, Congfu Xu	Tag-based top-N recommendation using a pairwise topic model.	IRI	2013	DBLP DOI BibTeX RDF
8	Weinan Zhang 0001, Tianqi Chen, Jun Wang 0012, Yong Yu 0001	Optimizing top-n collaborative filtering via dynamic negative item sampling.	SIGIR	2013	DBLP DOI BibTeX RDF
8	Yongli Ren, Tianqing Zhu, Gang Li 0009, Wanlei Zhou 0001	Top-N Recommendations by Learning User Preference Dynamics.	PAKDD (2)	2013	DBLP DOI BibTeX RDF
8	Hoel Le Capitaine, Carl Frélicot	A family of measures for best top-n class-selective decision rules.	Pattern Recognit.	2012	DBLP DOI BibTeX RDF
8	Sergio Cleger-Tamayo, Juan M. Fernández-Luna, Juan F. Huete	Top-N news recommendations in digital newspapers.	Knowl. Based Syst.	2012	DBLP DOI BibTeX RDF
8	Jiwoon Ha, Soon-Hyoung Kwon, Sang-Wook Kim, Christos Faloutsos, Sunju Park	Top-N recommendation through belief propagation.	CIKM	2012	DBLP DOI BibTeX RDF
8	Xia Ning, George Karypis	Sparse linear methods with side information for Top-N recommendations.	WWW (Companion Volume)	2012	DBLP DOI BibTeX RDF
8	Aixiang Li, Makoto Haraguchi, Yoshiaki Okubo	Top-N Minimization Approach for Indicative Correlation Change Mining.	MLDM	2012	DBLP DOI BibTeX RDF
8	Yongli Ren, Gang Li 0009, Wanlei Zhou 0001	Improving Top-N Recommendations with User Consuming Profiles.	PRICAI	2012	DBLP DOI BibTeX RDF
8	Yoshiaki Okubo, Makoto Haraguchi	Finding Top-N Colossal Patterns Based on Clique Search with Dynamic Update of Graph.	ICFCA	2012	DBLP DOI BibTeX RDF
8	Xia Ning, George Karypis	Sparse linear methods with side information for top-n recommendations.	RecSys	2012	DBLP DOI BibTeX RDF
8	Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme, Wolfgang Nejdl	Real-time top-n recommendation in social streams.	RecSys	2012	DBLP DOI BibTeX RDF
8	Yue Shi 0002, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver	TFMAP: optimizing MAP for top-n context-aware recommendation.	SIGIR	2012	DBLP DOI BibTeX RDF
8	Yongli Ren, Gang Li 0009, Wanlei Zhou 0001	Learning Rating Patterns for Top-N Recommendations.	ASONAM	2012	DBLP DOI BibTeX RDF
8	Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu	Unsupervised Ensemble Learning for Mining Top-n Outliers.	PAKDD (1)	2012	DBLP DOI BibTeX RDF
8	Yongli Ren, Gang Li 0009, Wanlei Zhou 0001	Learning User Preference Patterns for Top-N Recommendations.	Web Intelligence	2012	DBLP DOI BibTeX RDF
8	Qiuxia Lu, Tianqi Chen, Weinan Zhang 0001, Diyi Yang, Yong Yu 0001	Serendipitous Personalized Ranking for Top-N Recommendation.	Web Intelligence	2012	DBLP DOI BibTeX RDF
8	Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares	Using Contextual Information as Virtual Items on Top-N Recommender Systems	CoRR	2011	DBLP BibTeX RDF
8	Neil Hurley, Mi Zhang 0001	Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation.	ACM Trans. Internet Techn.	2011	DBLP DOI BibTeX RDF
8	Nicola Barbieri, Giuseppe Manco 0001	An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering.	ECML/PKDD (1)	2011	DBLP DOI BibTeX RDF
8	Felix Mödritscher	Beyond collaborative filtering: generating local top-n recommendations for personal learning environments.	I-KNOW	2011	DBLP DOI BibTeX RDF
8	Xia Ning, George Karypis	SLIM: Sparse Linear Methods for Top-N Recommender Systems.	ICDM	2011	DBLP DOI BibTeX RDF
8	Ruifeng Li, Yin Zhang 0006, Haihan Yu, Xiaojun Wang, Jiangqin Wu, Baogang Wei	A social network-aware top-N recommender system using GPU.	JCDL	2011	DBLP DOI BibTeX RDF
8	Yoshiaki Okubo, Makoto Haraguchi, Sachio Hirokawa	Finding Top-N Chance Patterns with KeyGraph $^{\tiny \textregistered}$ -Based Importance.	KES (2)	2011	DBLP DOI BibTeX RDF
8	Shankar Prawesh, Balaji Padmanabhan	The "top N" news recommender: count distortion and manipulation resistance.	RecSys	2011	DBLP DOI BibTeX RDF
8	Quan Yuan, Li Chen 0009, Shiwan Zhao	Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation.	RecSys	2011	DBLP DOI BibTeX RDF
8	Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares	Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems.	Web Intelligence	2011	DBLP DOI BibTeX RDF
8	Mouzhi Ge, Fatih Gedikli, Dietmar Jannach	Placing High-Diversity Items in Top-N Recommendation Lists.	ITWP@IJCAI	2011	DBLP BibTeX RDF
8	Liang Zhu, Weiyi Meng, Chunnian Liu, Wenzhu Yang, Dazhong Liu	Processing top-N relational queries by learning.	J. Intell. Inf. Syst.	2010	DBLP DOI BibTeX RDF
8	Paolo Cremonesi, Roberto Turrin	Controlling Consistency in Top-N Recommender Systems.	ICDM Workshops	2010	DBLP DOI BibTeX RDF
8	Paolo Cremonesi, Yehuda Koren, Roberto Turrin	Performance of recommender algorithms on top-n recommendation tasks.	RecSys	2010	DBLP DOI BibTeX RDF
8	Alper Bilge, Cihan Kaleli, Huseyin Polat 0001	On Binary Similarity Measures for Privacy-preserving Top-N Recommendations.	ICSOFT (1)	2010	DBLP BibTeX RDF
8	Mi Zhang 0001, Neil Hurley	Niche Product Retrieval in Top-N Recommendation.	Web Intelligence	2010	DBLP DOI BibTeX RDF
8	Paula Vaz Lobo, David Martins de Matos	Fairy Tale Corpus Organization Using Latent Semantic Mapping and an Item-to-item Top-n Recommendation Algorithm.	LREC	2010	DBLP BibTeX RDF
8	Xinyue Liu, Fenglong Ma, Hongfei Lin, Hong Shen	Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection.	PAAP	2010	DBLP DOI BibTeX RDF