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ORCIDRecommender Systems Handbook 2022
- Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems Handbook. Springer US 2022, ISBN 978-1-0716-2196-7 - Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems: Techniques, Applications, and Challenges. 1-35 - Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis:
Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems. 39-89 - Yehuda Koren, Steffen Rendle, Robert M. Bell:
Advances in Collaborative Filtering. 91-142 - Steffen Rendle:
Item Recommendation from Implicit Feedback. 143-171 - Shuai Zhang
, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang:
Deep Learning for Recommender Systems. 173-210 - Gediminas Adomavicius, Konstantin Bauman, Alexander Tuzhilin, Moshe Unger:
Context-Aware Recommender Systems: From Foundations to Recent Developments. 211-250 - Cataldo Musto, Marco de Gemmis, Pasquale Lops, Fedelucio Narducci, Giovanni Semeraro:
Semantics and Content-Based Recommendations. 251-298 - Dietmar Jannach, Massimo Quadrana, Paolo Cremonesi:
Session-Based Recommender Systems. 301-334 - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Recommender Systems: Attack, Defense, and Advances. 335-379 - Judith Masthoff, Amra Delic:
Group Recommender Systems: Beyond Preference Aggregation. 381-420 - Irena Koprinska, Kalina Yacef:
People-to-People Reciprocal Recommenders. 421-446 - Oren Sar Shalom, Haggai Roitman, Pigi Kouki:
Natural Language Processing for Recommender Systems. 447-483 - Maurizio Ferrari Dacrema, Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi:
Design and Evaluation of Cross-Domain Recommender Systems. 485-516 - Dietmar Jannach, Markus Zanker:
Value and Impact of Recommender Systems. 519-546 - Asela Gunawardana, Guy Shani, Sivan Yogev:
Evaluating Recommender Systems. 547-601 - Pablo Castells, Neil Hurley, Saúl Vargas:
Novelty and Diversity in Recommender Systems. 603-646 - Himan Abdollahpouri, Robin Burke:
Multistakeholder Recommender Systems. 647-677 - Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz:
Fairness in Recommender Systems. 679-707 - Nava Tintarev, Judith Masthoff:
Beyond Explaining Single Item Recommendations. 711-756 - Marko Tkalcic, Li Chen:
Personality and Recommender Systems. 757-787 - Anthony Jameson, Martijn C. Willemsen, Alexander Felfernig:
Individual and Group Decision Making and Recommender Systems. 789-832 - Ido Guy:
Social Recommender Systems. 835-870 - David Elsweiler, Hanna Hauptmann, Christoph Trattner:
Food Recommender Systems. 871-925 - Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov:
Music Recommendation Systems: Techniques, Use Cases, and Challenges. 927-971 - Yashar Deldjoo, Markus Schedl, Balázs Hidasi, Yinwei Wei, Xiangnan He:
Multimedia Recommender Systems: Algorithms and Challenges. 973-1014 - Shatha Jaradat, Nima Dokoohaki, Humberto Jesús Corona Pampín, Reza Shirvany:
Fashion Recommender Systems. 1015-1055
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