The design and study of pedagogical paper recommendation
暂无分享,去创建一个
[1] Soo Young Rieh. Judgement of information quality and cognitive authority in the Web , 2002 .
[2] David W. McDonald,et al. Social matching: A framework and research agenda , 2005, TCHI.
[3] David M. Pennock,et al. CROC: A New Evaluation Criterion for Recommender Systems , 2005, Electron. Commer. Res..
[4] William W. Cohen,et al. Recommendation : A Study in Combining Multiple Information Sources , 2007 .
[5] John Riedl,et al. An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms , 2002, Information Retrieval.
[6] Mark Claypool,et al. Implicit interest indicators , 2001, IUI '01.
[7] David M. Pennock,et al. Categories and Subject Descriptors , 2001 .
[8] H. Blalock. Causal Inferences in Nonexperimental Research , 1966 .
[9] Kristian J. Hammond,et al. Guiding people to information: providing an interface to a digital library using reference as a basis for indexing , 2000, IUI '00.
[10] Amanda Spink,et al. Users' Searching Behavior On The Excite Web Search Engine , 1998, WebNet.
[11] John Riedl,et al. Explaining collaborative filtering recommendations , 2000, CSCW '00.
[12] George Lekakos,et al. Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors , 2006, Interact. Comput..
[13] Robert E. Kraut,et al. Motivating participation by displaying the value of contribution , 2006, CHI.
[14] Barry Smyth,et al. On the Role of Diversity in Conversational Recommender Systems , 2003, ICCBR.
[15] Stuart E. Middleton,et al. Ontological user profiling in recommender systems , 2004, TOIS.
[16] Sean M. McNee,et al. Being accurate is not enough: how accuracy metrics have hurt recommender systems , 2006, CHI Extended Abstracts.
[17] Gordon I. McCalla,et al. A Multi-Dimensional Paper Recommender , 2007, AIED.
[18] Sean M. McNee,et al. Getting to know you: learning new user preferences in recommender systems , 2002, IUI '02.
[19] John Riedl,et al. Is seeing believing?: how recommender system interfaces affect users' opinions , 2003, CHI '03.
[20] John Riedl,et al. PolyLens: A recommender system for groups of user , 2001, ECSCW.
[21] Sally Jo Cunningham,et al. An Analysis of Usage of a Digital Library , 1998, ECDL.
[22] Barry Smyth,et al. A recommender system for on-line course enrolment: an initial study , 2007, RecSys '07.
[23] Edward A. Fox,et al. Automatic document metadata extraction using support vector machines , 2003, 2003 Joint Conference on Digital Libraries, 2003. Proceedings..
[24] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[25] Anoop Gupta,et al. Using Web annotations for asynchronous collaboration around documents , 2000, CSCW '00.
[26] David M. Pennock,et al. REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex , 2002, Very Large Data Bases Conference.
[27] George Karypis,et al. Item-based top-N recommendation algorithms , 2004, TOIS.
[28] John Riedl,et al. Analysis of recommendation algorithms for e-commerce , 2000, EC '00.
[29] Peter Brusilovsky,et al. Comprehensive personalized information access in an educational digital library , 2005, Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05).
[30] John Riedl,et al. Shilling recommender systems for fun and profit , 2004, WWW '04.
[31] Sean M. McNee,et al. On the recommending of citations for research papers , 2002, CSCW '02.
[32] Thomas Hofmann,et al. Latent Class Models for Collaborative Filtering , 1999, IJCAI.
[33] Samuel Kaski,et al. Combining eye movements and collaborative filtering for proactive information retrieval , 2005, SIGIR '05.
[34] Annika Waern,et al. Edited Adaptive Hypermedia: Combining Human and Machine Intelligence to Achieve Filtered Information , 1997 .
[35] Gerald Salton,et al. Automatic text processing , 1988 .
[36] John A. Swets,et al. Effectiveness of information retrieval methods , 1969 .
[37] Barry Smyth,et al. On the Dynamic Generation of Compound Critiques in Conversational Recommender Systems , 2004, AH.
[38] Pattie Maes,et al. Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.
[39] Esma Aïmeur,et al. HELP: A Recommender System to Locate Expertise in Organizational Memories , 2007, 2007 IEEE/ACS International Conference on Computer Systems and Applications.
[40] Paul Dourish,et al. Introduction to the special section on recommender systems , 2005, TCHI.
[41] Kristina Höök,et al. Designing and evaluating kalas: A social navigation system for food recipes , 2005, TCHI.
[42] Carol L. Barry. User-defined relevance criteria: an exploratory study , 1994 .
[43] Mimi Recker,et al. What do you recommend? Implementation and analyses of collaborative information filtering of web resources for education , 2003 .
[44] Sean M. McNee,et al. Improving recommendation lists through topic diversification , 2005, WWW '05.
[45] William W. Cohen,et al. Recommendation as Classification: Using Social and Content-Based Information in Recommendation , 1998, AAAI/IAAI.
[46] Hsinchun Chen,et al. A graph-based recommender system for digital library , 2002, JCDL '02.
[47] Thomas Hofmann,et al. Learning from Dyadic Data , 1998, NIPS.
[48] Gediminas Adomavicius,et al. Incorporating contextual information in recommender systems using a multidimensional approach , 2005, TOIS.
[49] Rashmi R. Sinha,et al. The role of transparency in recommender systems , 2002, CHI Extended Abstracts.
[50] Derry O'Sullivan,et al. Case Studies in Association Rule Mining for Recommender Systems , 2005, IC-AI.
[51] Henry G. Small,et al. Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..
[52] Raymond J. Mooney,et al. Content-boosted collaborative filtering for improved recommendations , 2002, AAAI/IAAI.
[53] Julita Vassileva,et al. Multi-Agent Multi-User Modeling in I-Help , 2003, User Modeling and User-Adapted Interaction.
[54] Loriene Roy,et al. Content-based book recommending using learning for text categorization , 1999, DL '00.
[55] David Heckerman,et al. Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.
[56] Bradley N. Miller,et al. GroupLens: applying collaborative filtering to Usenet news , 1997, CACM.
[57] Tiffany Ya Tang,et al. If You Like the Devil Wears Prada the Book, Will You also Enjoy the Devil Wears Prada the Movie? A Study of Cross-Domain Recommendations , 2008, New Generation Computing.
[58] Pierre Baldi,et al. Modeling the Internet and the Web: Probabilistic Methods and Algorithms. By Pierre Baldi, Paolo Frasconi, Padhraic Smith, John Wiley and Sons Ltd., West Sussex, England, 2003. 285 pp ISBN 0 470 84906 1 , 2006, Inf. Process. Manag..
[59] Mark Claypool,et al. Combining Content-Based and Collaborative Filters in an Online Newspaper , 1999, SIGIR 1999.
[60] Keith C. C. Chan,et al. Scaling Down Candidate Sets Based on the Temporal Feature of Items for Improved Hybrid Recommendations , 2003, ITWP.
[61] Gerard Salton,et al. Associative Document Retrieval Techniques Using Bibliographic Information , 1963, JACM.
[62] J A Swets,et al. Measuring the accuracy of diagnostic systems. , 1988, Science.
[63] C. Lee Giles,et al. Digital Libraries and Autonomous Citation Indexing , 1999, Computer.
[64] Joseph A. Konstan,et al. Understanding and improving automated collaborative filtering systems , 2000 .
[65] E. Garfield. Citation indexes for science. A new dimension in documentation through association of ideas. 1955. , 1955, International journal of epidemiology.
[66] Daniel P. Huttenlocher,et al. Shared annotation for cooperative learning , 1995, CSCL.
[67] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[68] John Riedl,et al. Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems , 2006, ETRICS.
[69] Sean M. McNee,et al. Enhancing digital libraries with TechLens , 2004, Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries, 2004..
[70] Mimi Recker,et al. Understanding educator perceptions of "quality" in digital libraries , 2003, 2003 Joint Conference on Digital Libraries, 2003. Proceedings..
[71] Gordon I. McCalla,et al. Utilizing Artificial Learners to Help Overcome the Cold-Start Problem in a Pedagogically-Oriented Paper Recommendation System , 2004, AH.
[72] Allison Woodruff,et al. Enhancing a digital book with a reading recommender , 2000, CHI.
[73] Michael J. Pazzani,et al. A Framework for Collaborative, Content-Based and Demographic Filtering , 1999, Artificial Intelligence Review.
[74] Soo Young Rieh,et al. Interaction on the Web: Scholars' Judgment of Information Quality and Cognitive Authority , 2000 .
[75] Xin Li,et al. Using Social Psychology to Motivate Contributions to Online Communities , 2005, J. Comput. Mediat. Commun..
[76] C. Lee Giles,et al. A system for automatic personalized tracking of scientific literature on the Web , 1999, DL '99.
[77] Amanda Spink,et al. Searchers, The Subjects They Search, And Sufficiency: A Study Of A Large Sample Of Excite Searches , 1998, WebNet.
[78] Koichi Takeda,et al. Information retrieval on the web , 2000, CSUR.
[79] Nicholas J. Belkin,et al. Information filtering and information retrieval: two sides of the same coin? , 1992, CACM.
[80] Gord McCalla,et al. The Ecological Approach to the Design of E-Learning Environments: Purpose-based Capture and Use of Information About Learners , 2004 .
[81] John Riedl,et al. Combining Collaborative Filtering with Personal Agents for Better Recommendations , 1999, AAAI/IAAI.
[82] Bradley N. Miller,et al. Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system , 1998, CSCW '98.
[83] Sean M. McNee,et al. Making recommendations better: an analytic model for human-recommender interaction , 2006, CHI Extended Abstracts.
[84] Sean M. McNee,et al. Interfaces for Eliciting New User Preferences in Recommender Systems , 2003, User Modeling.
[85] Andreas Paepcke,et al. Beyond document similarity: understanding value-based search and browsing technologies , 2000, SGMD.
[86] Barry Smyth,et al. On the Evaluation of Dynamic Critiquing: A Large-Scale User Study , 2005, AAAI.
[87] Robin D. Burke,et al. Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.
[88] George M. Giaglis,et al. A Lifestyle-Based Approach for Delivering Personalized Advertisements in Digital Interactive Television , 2006, J. Comput. Mediat. Commun..
[89] Mary Czerwinski,et al. DateLens: A fisheye calendar interface for PDAs , 2004, TCHI.
[90] Bradley N. Miller,et al. PocketLens: Toward a personal recommender system , 2004, TOIS.
[91] T. Tang,et al. Active, Context-dependent, Data-centeredTechniques For E-learning: A Case Study Of AResearch Paper Recommender System , 2006 .
[92] Michael J. Pazzani,et al. Learning and Revising User Profiles: The Identification of Interesting Web Sites , 1997, Machine Learning.
[93] Yoav Shoham,et al. Fab: content-based, collaborative recommendation , 1997, CACM.
[94] Mary Czerwinski,et al. Understanding research trends in conferences using paperLens , 2005, CHI Extended Abstracts.
[95] E. Kelloway. Using LISREL for Structural Equation Modeling: A Researcher′s Guide , 1998 .
[96] Gordon I. McCalla,et al. A Hybrid Approach to Making Recommendations and Its Application to the Movie Domain , 2001, Canadian Conference on AI.
[97] Rynson W. H. Lau,et al. Personalized courseware construction based on Web data mining , 2000, Proceedings of the First International Conference on Web Information Systems Engineering.
[98] Steven M. Shugan. The Cost Of Thinking , 1980 .
[99] M. Browne,et al. Alternative Ways of Assessing Model Fit , 1992 .
[100] Jonathan L. Herlocker,et al. Evaluating collaborative filtering recommender systems , 2004, TOIS.
[101] Jane E. Klobas,et al. Beyond information quality: fitness for purpose and electronic information resource use , 1995, J. Inf. Sci..
[102] Fabio Crestani,et al. “Is this document relevant?…probably”: a survey of probabilistic models in information retrieval , 1998, CSUR.
[103] Barry Smyth,et al. Compound Critiques for Conversational Recommender Systems , 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).
[104] Loren Terveen,et al. PHOAKS: a system for sharing recommendations , 1997, CACM.
[105] J A Swets,et al. Information Retrieval Systems. , 1963, Science.
[106] Jonathan L. Herlocker,et al. A collaborative filtering algorithm and evaluation metric that accurately model the user experience , 2004, SIGIR '04.
[107] Donald A. Cox,et al. Supporting collaborative interpretation in distributed Groupware , 2000, CSCW '00.
[108] Mark Rosenstein,et al. Recommending and evaluating choices in a virtual community of use , 1995, CHI '95.
[109] Catherine C. Marshall,et al. Annotation: from paper books to the digital library , 1997, DL '97.