Search results for "movielens"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
66	Vinod Krishnan, Pradeep Kumar Narayanashetty, Mukesh Nathan, Richard T. Davies, Joseph A. Konstan	Who predicts better?: results from an online study comparing humans and an online recommender system.	RecSys	2008	DBLP DOI BibTeX RDF	human recommenders, mae, movielens, recommender evaluation, recommender systems, predictions
44	Bradley N. Miller, István Albert, Shyong K. Lam, Joseph A. Konstan, John Riedl	MovieLens unplugged: experiences with an occasionally connected recommender system.	IUI	2003	DBLP DOI BibTeX RDF	user interface, recommender systems, mobile device, collaborative filtering
30	Augusto Pucci, Marco Gori, Marco Maggini	A Random-Walk Based Scoring Algorithm Applied to Recommender Engines.	WEBKDD	2006	DBLP DOI BibTeX RDF
29	Yu-chen Fan, Yitong Ji, Jie Zhang 0002, Aixin Sun	Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?	CoRR	2023	DBLP DOI BibTeX RDF
29	Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan	The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens.	EC	2023	DBLP DOI BibTeX RDF
29	Álvaro González, Fernando Ortega 0001, Diego Pérez-López, Santiago Alonso	Bias and Unfairness of Collaborative Filtering Based Recommender Systems in MovieLens Dataset.	IEEE Access	2022	DBLP DOI BibTeX RDF
29	Ziyue Zhu	Identifying Films with Noir Characteristics Using Audience's Tags on MovieLens.	CoRR	2022	DBLP DOI BibTeX RDF
29	Lukas Wegmeth	The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study.	CoRR	2022	DBLP DOI BibTeX RDF
29	Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan	The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens.	CoRR	2022	DBLP DOI BibTeX RDF
29	Kazutoshi Umemoto	ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders.	CIKM	2022	DBLP DOI BibTeX RDF
29	Saman Forouzandeh, Kamal Berahmand, Mehrdad Rostami	Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens.	Multim. Tools Appl.	2021	DBLP DOI BibTeX RDF
29	Yu Xiong	MovieLens 1m.		2021	DOI RDF
29	Jung-Bin Li, Szu-Yin Lin, Yu-Hsiang Hsu, Ying-Chu Huang	An empirical study of alternating least squares collaborative filtering recommendation for Movielens on Apache Hadoop and Spark.	Int. J. Grid Util. Comput.	2020	DBLP DOI BibTeX RDF
29	Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand	Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens.	CoRR	2020	DBLP BibTeX RDF
29	Hagar ElFiky, Wedad Hussein, Rania El-Gohary	Improving the Data Quality of the MovieLens Dataset Using Dimensionality Reduction Techniques.	AICV	2020	DBLP DOI BibTeX RDF
29	Alejo Paullier, Rafael Sotelo 0001	A Recommender Systems' algorithm evaluation using the Lenskit library and MovieLens databases.	BMSB	2020	DBLP DOI BibTeX RDF
29	Anne-Marie Tousch	How robust is MovieLens? A dataset analysis for recommender systems.	CoRR	2019	DBLP BibTeX RDF
29	Santiago Alonso, Jesús Bobadilla, Fernando Ortega 0001, Ricardo Moya	MaliciousML: MovieLens dataset attacked with diverse profile injection attacks.		2019	DOI RDF
29	Nourah A. ALRossais, Daniel Kudenko	iSynchronizer: A Tool for Extracting, Integration and Analysis of MovieLens and IMDb Datasets.	UMAP (Adjunct Publication)	2018	DBLP DOI BibTeX RDF
29	Mojtaba Sadeghian, Mohammad Khansari 0002	A Recommender Systems Based on Similarity Networks: MovieLens Case Study.	IST	2018	DBLP DOI BibTeX RDF
29	F. Maxwell Harper, Joseph A. Konstan	The MovieLens Datasets: History and Context.	ACM Trans. Interact. Intell. Syst.	2016	DBLP DOI BibTeX RDF
29	Raghav Pavan Karumur, Tien T. Nguyen, Joseph A. Konstan	Exploring the Value of Personality in Predicting Rating Behaviors: A Study of Category Preferences on MovieLens.	RecSys	2016	DBLP DOI BibTeX RDF
29	An Zeng, Stanislao Gualdi, Matús Medo, Yi-Cheng Zhang	Trend Prediction in Temporal bipartite Networks: the Case of MovieLens, Netflix, and Digg.	Adv. Complex Syst.	2013	DBLP DOI BibTeX RDF
29	An Zeng, Stanislao Gualdi, Matús Medo, Yi-Cheng Zhang	Trend prediction in temporal bipartite networks: the case of Movielens, Netflix, and Digg	CoRR	2013	DBLP BibTeX RDF
29	Jason J. Jung	Attribute selection-based recommendation framework for short-head user group: An empirical study by MovieLens and IMDB.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
29	Huy Nguyen, Tien Dinh	A Modified Regularized Non-Negative Matrix Factorization for MovieLens.	RIVF	2012	DBLP DOI BibTeX RDF
29	Paula Cristina Vaz, Ricardo Ribeiro 0001, David Martins de Matos	LitRec vs. Movielens - A Comparative Study.	KDIR	2012	DBLP BibTeX RDF
29	Jason J. Jung, Xuan Hau Pham	Attribute Selection-Based Recommendation Framework for Long-Tail User Group: An Empirical Study on MovieLens Dataset.	ICCCI (1)	2011	DBLP DOI BibTeX RDF
29	Yan Chen 0014, F. Maxwell Harper, Joseph A. Konstan, Sherry Xin Li	Social Comparisons and Contributions to Online Communities: A Field Experiment on MovieLens.	Computational Social Systems and the Internet	2007	DBLP BibTeX RDF
15	Deepak Agarwal, Bee-Chung Chen, Pradheep Elango	Fast online learning through offline initialization for time-sensitive recommendation.	KDD	2010	DBLP DOI BibTeX RDF	latent factor, reduced rank regression, recommender systems, factorization, dyadic data
15	Chunhui Piao, Jing Zhao, Li-Juan Zheng	Research on entropy-based collaborative filtering algorithm and personalized recommendation in e-commerce.	Serv. Oriented Comput. Appl.	2009	DBLP DOI BibTeX RDF	Collaborative filtering algorithm, MAE, Web services, Entropy, Similarity measure, Personalized recommendation, B2B e-commerce
15	Arno Bakker, Elth Ogston, Maarten van Steen	Collaborative filtering using random neighbours in peer-to-peer networks.	CIKM-CNIKM	2009	DBLP DOI BibTeX RDF	recommender systems, metrics, collaborative filtering, peer-to-peer networking
15	Stephan Spiegel, Jérôme Kunegis, Fang Li	Hydra: a hybrid recommender system [cross-linked rating and content information].	CIKM-CNIKM	2009	DBLP DOI BibTeX RDF	cross-linked data, hybrid recommender, matrix factorization
15	Shilad Sen, Jesse Vig, John Riedl	Learning to recognize valuable tags.	IUI	2009	DBLP DOI BibTeX RDF	user interfaces, tagging, moderation
15	Amar Saric, Mirsad Hadzikadic, David Wilson	Alternative Formulas for Rating Prediction Using Collaborative Filtering.	ISMIS	2009	DBLP DOI BibTeX RDF	Rating Prediction, Collaborative filtering, Similarity measure, Personalized Recommendation
15	Shilad Sen, Jesse Vig, John Riedl	Tagommenders: connecting users to items through tags.	WWW	2009	DBLP DOI BibTeX RDF	recommender systems, collaborative filtering, tagging
15	David H. Stern, Ralf Herbrich, Thore Graepel	Matchbox: large scale online bayesian recommendations.	WWW	2009	DBLP DOI BibTeX RDF	machine learning, recommender system, collaborative filtering, bayesian inference, advertising, online services
15	Jiho Yoo, Seungjin Choi	Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction.	ACML	2009	DBLP DOI BibTeX RDF
15	SongJie Gong, HongWu Ye, Yae Dai	Combining Singular Value Decomposition and Item-based Recommender in Collaborative Filtering.	WKDD	2009	DBLP DOI BibTeX RDF
15	Tom Chao Zhou, Hao Ma 0001, Irwin King, Michael R. Lyu	TagRec: Leveraging Tagging Wisdom for Recommendation.	CSE (4)	2009	DBLP DOI BibTeX RDF
15	Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu 0001	Getting recommender systems to think outside the box.	RecSys	2009	DBLP DOI BibTeX RDF	OTB, outside the box, recommendation, diversity, serendipity
15	Seung-Taek Park, Wei Chu	Pairwise preference regression for cold-start recommendation.	RecSys	2009	DBLP DOI BibTeX RDF	normalized discounted cumulative gain, user and item features, recommender system, ranking, cold-start problems
15	Jingyu Sun, Xueli Yu, Ruizhi Wang, Ning Zhong 0001	A Model for Personalized Web-Scale Case Base Maintenance.	AMT	2009	DBLP DOI BibTeX RDF
15	Jingyu Sun, Jiguang Zhao, Xueli Yu	A Collaborative Filtering Algorithm with Phased Forecast.	RSKT	2009	DBLP DOI BibTeX RDF	Item-based, Time factor, Phased forecast, Collaborative filtering
15	Amira Abdelwahab, Hiroo Sekiya, Ikuo Matsuba, Yasuo Horiuchi, Shingo Kuroiwa	Collaborative filtering based on an iterative prediction method to alleviate the sparsity problem.	iiWAS	2009	DBLP DOI BibTeX RDF	explicit ratings, memory-based approach, user-based collaborative filtering, recommender systems, collaborative filtering, sparsity, cold-start problem, item-based collaborative filtering
15	Panagiotis Symeonidis, Alexandros Nanopoulos, Yannis Manolopoulos	Providing Justifications in Recommender Systems.	IEEE Trans. Syst. Man Cybern. Part A	2008	DBLP DOI BibTeX RDF
15	Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich	A collaborative filtering framework based on both local user similarity and global user similarity.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Collaborative filtering, Information theory, Similarity measure
15	Saddys Segrera, María N. Moreno García	Classification Based on Association Rules for Adaptive Web Systems.	Innovations in Hybrid Intelligent Systems	2008	DBLP DOI BibTeX RDF	Classification, recommender system, association rules
15	Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich	A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity.	ECML/PKDD (1)	2008	DBLP DOI BibTeX RDF
15	Bin Cao 0001, Jian-Tao Sun, Jianmin Wu, Qiang Yang 0001, Zheng Chen 0001	Learning Bidirectional Similarity for Collaborative Filtering.	ECML/PKDD (1)	2008	DBLP DOI BibTeX RDF
15	Adele E. Howe, Ryan D. Forbes	Re-considering neighborhood-based collaborative filtering parameters in the context of new data.	CIKM	2008	DBLP DOI BibTeX RDF	collaborative filtering
15	Mian Qin, Scott Buffett, Michael W. Fleming	Predicting User Preferences Via Similarity-Based Clustering.	Canadian AI	2008	DBLP DOI BibTeX RDF
15	John Riedl	Altruism, Selfishness, and Destructiveness on the Social Web.	AH	2008	DBLP DOI BibTeX RDF
15	Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete	Collaborative Recommendations Using Bayesian Networks and Linguistic Modelling.	ICAISC	2008	DBLP DOI BibTeX RDF
15	Asela Gunawardana, Christopher Meek	Tied boltzmann machines for cold start recommendations.	RecSys	2008	DBLP DOI BibTeX RDF	recommender systems, collaborative filtering, content-based filtering, boltzmann machines, cold start
15	Hilmi Yildirim, Mukkai S. Krishnamoorthy	A random walk method for alleviating the sparsity problem in collaborative filtering.	RecSys	2008	DBLP DOI BibTeX RDF	collaborative filtering, random walk, sparsity
15	Mi Zhang 0001, Neil Hurley	Avoiding monotony: improving the diversity of recommendation lists.	RecSys	2008	DBLP DOI BibTeX RDF	recommender system, metrics, diversity, accuracy, novelty
15	Sara Drenner, Shilad Sen, Loren G. Terveen	Crafting the initial user experience to achieve community goals.	RecSys	2008	DBLP DOI BibTeX RDF	entry barrier, new user problem, user interfaces, recommender system, user experience, tagging, online communities
15	Liyan Zhang, Kai Zhang, Chunping Li	A topical PageRank based algorithm for recommender systems.	SIGIR	2008	DBLP DOI BibTeX RDF	topical PageRank, recommender system
15	François Fouss, Marco Saerens	Evaluating Performance of Recommender Systems: An Experimental Comparison.	Web Intelligence	2008	DBLP DOI BibTeX RDF
15	Matthew Rutledge-Taylor, André Vellino, Robert L. West	A holographic associative memory recommender system.	ICDIM	2008	DBLP DOI BibTeX RDF
15	Liyan Zhang, Chunping Li	A Novel Recommending Algorithm Based on Topical PageRank.	Australasian Conference on Artificial Intelligence	2008	DBLP DOI BibTeX RDF
15	Hong Joo Lee, Jong Woo Kim 0002, Sung Joo Park	Understanding collaborative filtering parameters for personalized recommendations in e-commerce.	Electron. Commer. Res.	2007	DBLP DOI BibTeX RDF	Personalization, e-Commerce, Collaborative filtering, Parameter selection
15	François Fouss, Alain Pirotte 0001, Jean-Michel Renders, Marco Saerens	Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	graph and database mining, Fiedler vector, proximity measures, spectral clustering, statistical relational learning, Graph analysis, graph kernels, collaborative recommendation
15	Heung-Nam Kim, Ae-Ttie Ji, Cheol Yeon, GeunSik Jo	A User-Item Predictive Model for Collaborative Filtering Recommendation.	User Modeling	2007	DBLP DOI BibTeX RDF
15	F. Maxwell Harper, Dan Frankowski, Sara Drenner, Yuqing Ren, Sara B. Kiesler, Loren G. Terveen, Robert E. Kraut, John Riedl	Talk amongst yourselves: inviting users to participate in online conversations.	IUI	2007	DBLP DOI BibTeX RDF	invitations, personalization, online community, incentives, discussion forums
15	Heung-Nam Kim, Ae-Ttie Ji, Hyun-Jun Kim, GeunSik Jo	Error-Based Collaborative Filtering Algorithm for Top-N Recommendation.	APWeb/WAIM	2007	DBLP DOI BibTeX RDF
15	Vincent Schickel-Zuber, Boi Faltings	Using hierarchical clustering for learning theontologies used in recommendation systems.	KDD	2007	DBLP DOI BibTeX RDF	ontology, performance, recommendation systems
15	Laurent Candillier, Frank Meyer, Marc Boullé	Comparing State-of-the-Art Collaborative Filtering Systems.	MLDM	2007	DBLP DOI BibTeX RDF
15	Ray Fanner, Adam Raybone, Rehan Uddin, Michael O. Odetayo, Kuo-Ming Chao	Mediation Architecture for Integration of Heterogeneous Discipline Focused Workflow Languages.	ICEBE	2007	DBLP DOI BibTeX RDF
15	Chunhui Piao, Jing Zhao, Jun Feng	Research on Entropy-based Collaborative Filtering Algorithm.	ICEBE	2007	DBLP DOI BibTeX RDF
15	Hee-Choon Lee, Seok Jun Lee, Young-Jun Chung	A Study on the Improved Collaborative Filtering Algorithm for Recommender System.	SERA	2007	DBLP DOI BibTeX RDF
15	Ying Gao, Hong Qi, Jie Liu 0014, Dayou Liu	A Recommendation Algorithm Combining User Grade-Based Collaborative Filtering and Probabilistic Relational Models.	FSKD (1)	2007	DBLP DOI BibTeX RDF
15	Yi Zhang 0001, Jonathan Koren	Efficient bayesian hierarchical user modeling for recommendation system.	SIGIR	2007	DBLP DOI BibTeX RDF	recommender systems, personalization, EM algorithm, information filtering, Bayesian Hierarchical models
15	Hao Ma 0001, Irwin King, Michael R. Lyu	Effective missing data prediction for collaborative filtering.	SIGIR	2007	DBLP DOI BibTeX RDF	data sparsity, recommender system, collaborative filtering, data prediction
15	Hemalatha Chandrashekhar, Bharat Bhasker	Collaborative Filtering Based on the Entropy Measure.	CEC/EEE	2007	DBLP DOI BibTeX RDF
15	Dingyi Han, Yong Yu 0001, Gui-Rong Xue	Exploiting Rating Behaviors for Effective Collaborative Filtering.	WISE	2006	DBLP DOI BibTeX RDF
15	Kyung-Yong Jung, Hee Joung Hwang, Un-Gu Kang	Optimal Associative Neighbor Mining Using Attributes for Ubiquitous Recommendation Systems.	FQAS	2006	DBLP DOI BibTeX RDF
15	Shilad Sen, Shyong K. Lam, Al Mamunur Rashid, Dan Cosley, Dan Frankowski, Jeremy Osterhouse, F. Maxwell Harper, John Riedl	tagging, communities, vocabulary, evolution.	CSCW	2006	DBLP DOI BibTeX RDF	social book-marking, communities, tagging, evolution, vocabulary
15	Truong Khanh Quan, Fuyuki Ishikawa, Shinichi Honiden	Improving Accuracy of Recommender System by Clustering Items Based on Stability of User Similarity.	CIMCA/IAWTIC	2006	DBLP DOI BibTeX RDF
15	Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste	Naïve filterbots for robust cold-start recommendations.	KDD	2006	DBLP DOI BibTeX RDF	hybrid content and collaborative filtering, naïve filterbots, performance analysis, recommender systems, robustness, collaborative filtering, cold start
15	Heung-Nam Kim, Ae-Ttie Ji, GeunSik Jo	Enhanced Prediction Algorithm for Item-Based Collaborative Filtering Recommendation.	EC-Web	2006	DBLP DOI BibTeX RDF
15	Elth Ogston, Arno Bakker, Maarten van Steen	On the Value of Random Opinions in Decentralized Recommendation.	DAIS	2006	DBLP DOI BibTeX RDF
15	Dennis DeCoste	Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations.	ICML	2006	DBLP DOI BibTeX RDF
15	Chein-Shung Hwang, Pei-Jung Tsai	A Collaborative Recommender System Based on User Association Clusters.	WISE	2005	DBLP DOI BibTeX RDF
15	Lars Schmidt-Thieme	Compound Classification Models for Recommender Systems.	ICDM	2005	DBLP DOI BibTeX RDF
15	Liang Zhang 0019, Chaoran Li, Yanfei Xu, Baile Shi	An Efficient Solution to Factor Drifting Problem in the pLSA Model.	CIT	2005	DBLP DOI BibTeX RDF
15	Vincent Schickel-Zuber, Boi Faltings	Overcoming Incomplete User Models in Recommendation Systems Via an Ontology.	WEBKDD	2005	DBLP DOI BibTeX RDF
15	Christina Christakou, Andreas Stafylopatis	A Hybrid Movie Recommender System Based on Neural Networks.	ISDA	2005	DBLP DOI BibTeX RDF
15	Gui-Rong Xue, Chenxi Lin, Qiang Yang 0001, Wensi Xi, Hua-Jun Zeng, Yong Yu 0001, Zheng Chen 0001	Scalable collaborative filtering using cluster-based smoothing.	SIGIR	2005	DBLP DOI BibTeX RDF	sparsity data, clustering, collaborative filtering, smoothing
15	Taek-Hun Kim, Sung-Bong Yang	Using Attributes to Improve Prediction Quality in Collaborative Filtering.	EC-Web	2004	DBLP DOI BibTeX RDF
15	Qing Li 0005, Byeong Man Kim	An approach for combining content-based and collaborative filters.	IRAL	2003	DBLP BibTeX RDF
15	Hyun-Jun Kim, Jason J. Jung, GeunSik Jo	Conceptual Framework for Recommendation System Based on Distributed User Ratings.	GCC (1)	2003	DBLP DOI BibTeX RDF
15	Qing Li 0005, Byeong Man Kim	Clustering Approach for Hybrid Recommender System.	Web Intelligence	2003	DBLP DOI BibTeX RDF
15	Tiffany Ya Tang, Pinata Winoto, Keith C. C. Chan	On the Temporal Analysis for Improved Hybrid Recommendations.	Web Intelligence	2003	DBLP DOI BibTeX RDF
15	Chuck P. Lam	Collaborative Filtering Using Associative Neural Memory.	ITWP	2003	DBLP DOI BibTeX RDF
15	Tiffany Ya Tang, Pinata Winoto, Keith C. C. Chan	Scaling Down Candidate Sets Based on the Temporal Feature of Items for Improved Hybrid Recommendations.	ITWP	2003	DBLP DOI BibTeX RDF
15	P. Krishna Reddy, Masaru Kitsuregawa, P. Sreekanth, S. Srinivasa Rao 0002	A Graph Based Approach to Extract a Neighborhood Customer Community for Collaborative Filtering.	DNIS	2002	DBLP DOI BibTeX RDF	Up-sell, Recommender systems, Electronic commerce, Interface, Mass-customization, Cross-sell, Customer loyalty