default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRecommender Systems Handbook 2011
- Francesco Ricci
, Lior Rokach, Bracha Shapira, Paul B. Kantor:
Recommender Systems Handbook. Springer 2011, ISBN 978-0-387-85819-7
Part 1 / Basic Techniques
- Francesco Ricci, Lior Rokach, Bracha Shapira:
Introduction to Recommender Systems Handbook. 1-35 - Xavier Amatriain, Alejandro Jaimes, Nuria Oliver, Josep M. Pujol:
Data Mining Methods for Recommender Systems. 39-71 - Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Content-based Recommender Systems: State of the Art and Trends. 73-105 - Christian Desrosiers, George Karypis:
A Comprehensive Survey of Neighborhood-based Recommendation Methods. 107-144 - Yehuda Koren, Robert M. Bell:
Advances in Collaborative Filtering. 145-186 - Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Zanker:
Developing Constraint-based Recommenders. 187-215 - Gediminas Adomavicius, Alexander Tuzhilin:
Context-Aware Recommender Systems. 217-253
Part 2 / Applications and Evaluation of RSs
- Guy Shani, Asela Gunawardana:
Evaluating Recommendation Systems. 257-297 - Riccardo Bambini, Paolo Cremonesi, Roberto Turrin:
A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment. 299-331 - Jérôme Picault, Myriam Ribière, David Bonnefoy, Kevin Mercer:
How to Get the Recommender Out of the Lab? 333-365 - Robin D. Burke, Maryam Ramezani:
Matching Recommendation Technologies and Domains. 367-386 - Nikos Manouselis, Hendrik Drachsler, Riina Vuorikari, Hans G. K. Hummel, Rob Koper:
Recommender Systems in Technology Enhanced Learning. 387-415
Part 3 / Interacting with Recommender Systems
- Lorraine McGinty, James Reilly:
On the Evolution of Critiquing Recommenders. 419-453 - Kyung Hyan Yoo, Ulrike Gretzel:
Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations. 455-477 - Nava Tintarev, Judith Masthoff:
Designing and Evaluating Explanations for Recommender Systems. 479-510 - Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani:
Usability Guidelines for Product Recommenders Based on Example Critiquing Research. 511-545 - Martijn Kagie, Michiel C. van Wezel, Patrick J. F. Groenen:
Map Based Visualization of Product Catalogs. 547-576
Part 4 / Recommender Systems and Communities
- Barry Smyth, Maurice Coyle, Peter Briggs:
Communities, Collaboration, and Recommender Systems in Personalized Web Search. 579-614 - Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke, Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis:
Social Tagging Recommender Systems. 615-644 - Patricia Victor, Martine De Cock, Chris Cornelis:
Trust and Recommendations. 645-675 - Judith Masthoff:
Group Recommender Systems: Combining Individual Models. 677-702
Part 5 / Advanced Algorithms
- Gleb Beliakov, Tomasa Calvo, Simon James:
Aggregation of Preferences in Recommender Systems. 705-734 - Neil Rubens, Dain Kaplan, Masashi Sugiyama:
Active Learning in Recommender Systems. 735-767 - Gediminas Adomavicius, Nikos Manouselis, YoungOk Kwon:
Multi-Criteria Recommender Systems. 769-803 - Robin D. Burke, Michael P. O'Mahony, Neil J. Hurley:
Robust Collaborative Recommendation. 805-835
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-29 20:13 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
