Private distributed collaborative filtering using estimated concordance measures.
Neal Lathia, Stephen Hailes, Licia Capra
Enhancing privacy and preserving accuracy of a distributed collaborative filtering.
Shlomo Berkovsky, Yaniv Eytani, Tsvi Kuflik, Francesco Ricci
Trust-aware recommender systems.
Paolo Massa, Paolo Avesani
The influence limiter: provably manipulation-resistant recommender systems.
Paul Resnick, Rahul Sami
Distributed collaborative filtering with domain specialization.
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
Complex-network theoretic clustering for identifying groups of similar listeners in p2p systems.
Amelie Anglade, Marco Tiemann, Fabio Vignoli
Robust collaborative filtering.
Bhaskar Mehta, Thomas Hofmann, Wolfgang Nejdl
A recursive prediction algorithm for collaborative filtering recommender systems.
Jiyong Zhang, Pearl Pu
Supporting product selection with query editing recommendations.
Derek G. Bridge, Francesco Ricci
Incorporating user control into recommender systems based on naive bayesian classification.
Verus Pronk, Wim F. J. Verhaegh, Adolf Proidl, Marco Tiemann
Replaying live-user interactions in the off-line evaluation of critique-based mobile recommendations.
Quang Nhat Nguyen, Francesco Ricci
Conversational recommenders with adaptive suggestions.
Paolo Viappiani, Pearl Pu, Boi Faltings
Addressing uncertainty in implicit preferences.
Sandra Clara Gadanho, Nicolas Lhuillier
Robustness of collaborative recommendation based on association rule mining.
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
Usage-based web recommendations: a reinforcement learning approach.
Nima Taghipour, Ahmad A. Kardan, Saeed Shiry Ghidary
Improving new user recommendations with rule-based induction on cold user data.
An-Te Nguyen, Nathalie Denos, Catherine Berrut
A probabilistic model for item-based recommender systems.
Ming Li, M. Benjamin Dias, Wael El-Deredy, Paulo J. G. Lisboa
A recommender system for on-line course enrolment: an initial study.
Michael P. O'Mahony, Barry Smyth
Case amazon: ratings and reviews as part of recommendations.
Juha Leino, Kari-Jouko Räihä
Comparing and evaluating information retrieval algorithms for news recommendation.
Toine Bogers, Antal van den Bosch
Influence-based collaborative active learning.
Neil Rubens, Masashi Sugiyama
Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering.
Tavi Nathanson, Ephrat Bitton, Kenneth Y. Goldberg
Effective explanations of recommendations: user-centered design.
Nava Tintarev, Judith Masthoff
Evaluating information presentation strategies for spoken recommendations.
Andi Winterboer, Johanna D. Moore
Leveraging aggregate ratings for better recommendations.
Akhmed Umyarov, Alexander Tuzhilin
Supporting social recommendations with activity-balanced clustering.
F. Maxwell Harper, Shilad Sen, Dan Frankowski
The evaluation of a hybrid critiquing system with preference-based recommendations organization.
Li Chen, Pearl Pu
The keepup recommender system.
Andrew Webster, Julita Vassileva
Towards ensemble learning for hybrid music recommendation.
Marco Tiemann, Steffen Pauws
Toward the exploitation of social access patterns for recommendation.
Jill Freyne, Rosta Farzan, Maurice Coyle
Techlens: a researcher's desktop.
Nishikant Kapoor, Jilin Chen, John T. Butler, Gary C. Fouty, James A. Stemper, John Riedl, Joseph A. Konstan
The challenges of recommending digital selves in physical spaces.
Joseph F. McCarthy
A hybrid social-acoustic recommendation system for popular music.
Evaluating sources of implicit feedback in web searches.
A multiagent knowledge-based recommender approach with truth maintenance.
Elicitation of profile attributes by transparent communication.
Explanations of recommendations.
Can social information retrieval enhance the discovery and reuse of digital educational content?