Abstract is missing.
- Private distributed collaborative filtering using estimated concordance measuresNeal Lathia, Stephen Hailes, Licia Capra. 1-8 [doi]
- Enhancing privacy and preserving accuracy of a distributed collaborative filteringShlomo Berkovsky, Yaniv Eytani, Tsvi Kuflik, Francesco Ricci. 9-16 [doi]
- Trust-aware recommender systemsPaolo Massa, Paolo Avesani. 17-24 [doi]
- The influence limiter: provably manipulation-resistant recommender systemsPaul Resnick, Rahul Sami. 25-32 [doi]
- Distributed collaborative filtering with domain specializationShlomo Berkovsky, Tsvi Kuflik, Francesco Ricci. 33-40 [doi]
- Complex-network theoretic clustering for identifying groups of similar listeners in p2p systemsAmelie Anglade, Marco Tiemann, Fabio Vignoli. 41-48 [doi]
- Robust collaborative filteringBhaskar Mehta, Thomas Hofmann, Wolfgang Nejdl. 49-56 [doi]
- A recursive prediction algorithm for collaborative filtering recommender systemsJiyong Zhang, Pearl Pu. 57-64 [doi]
- Supporting product selection with query editing recommendationsDerek G. Bridge, Francesco Ricci. 65-72 [doi]
- Incorporating user control into recommender systems based on naive bayesian classificationVerus Pronk, Wim F. J. Verhaegh, Adolf Proidl, Marco Tiemann. 73-80 [doi]
- Replaying live-user interactions in the off-line evaluation of critique-based mobile recommendationsQuang Nhat Nguyen, Francesco Ricci. 81-88 [doi]
- Conversational recommenders with adaptive suggestionsPaolo Viappiani, Pearl Pu, Boi Faltings. 89-96 [doi]
- Addressing uncertainty in implicit preferencesSandra Clara Gadanho, Nicolas Lhuillier. 97-104 [doi]
- Robustness of collaborative recommendation based on association rule miningJeff J. Sandvig, Bamshad Mobasher, Robin D. Burke. 105-112 [doi]
- Usage-based web recommendations: a reinforcement learning approachNima Taghipour, Ahmad Kardan, Saeed Shiry Ghidary. 113-120 [doi]
- Improving new user recommendations with rule-based induction on cold user dataAn-Te Nguyen, Nathalie Denos, Catherine Berrut. 121-128 [doi]
- A probabilistic model for item-based recommender systemsMing Li, M. Benjamin Dias, Wael El-Deredy, Paulo J. G. Lisboa. 129-132 [doi]
- A recommender system for on-line course enrolment: an initial studyMichael P. O Mahony, Barry Smyth. 133-136 [doi]
- Case amazon: ratings and reviews as part of recommendationsJuha Leino, Kari-Jouko Räihä. 137-140 [doi]
- Comparing and evaluating information retrieval algorithms for news recommendationToine Bogers, Antal van den Bosch. 141-144 [doi]
- Influence-based collaborative active learningNeil Rubens, Masashi Sugiyama. 145-148 [doi]
- Eigentaste 5.0: constant-time adaptability in a recommender system using item clusteringTavi Nathanson, Ephrat Bitton, Kenneth Y. Goldberg. 149-152 [doi]
- Effective explanations of recommendations: user-centered designNava Tintarev, Judith Masthoff. 153-156 [doi]
- Evaluating information presentation strategies for spoken recommendationsAndi Winterboer, Johanna D. Moore. 157-160 [doi]
- Leveraging aggregate ratings for better recommendationsAkhmed Umyarov, Alexander Tuzhilin. 161-164 [doi]
- Supporting social recommendations with activity-balanced clusteringF. Maxwell Harper, Shilad Sen, Dan Frankowski. 165-168 [doi]
- The evaluation of a hybrid critiquing system with preference-based recommendations organizationLi Chen, Pearl Pu. 169-172 [doi]
- The keepup recommender systemAndrew Webster, Julita Vassileva. 173-176 [doi]
- Towards ensemble learning for hybrid music recommendationMarco Tiemann, Steffen Pauws. 177-178 [doi]
- Toward the exploitation of social access patterns for recommendationJill Freyne, Rosta Farzan, Maurice Coyle. 179-182 [doi]
- Techlens: a researcher s desktopNishikant Kapoor, Jilin Chen, John T. Butler, Gary C. Fouty, James A. Stemper, John Riedl, Joseph A. Konstan. 183-184 [doi]
- The challenges of recommending digital selves in physical spacesJoseph F. McCarthy. 185-186 [doi]
- A hybrid social-acoustic recommendation system for popular musicJustin Donaldson. 187-190 [doi]
- Evaluating sources of implicit feedback in web searchesXin Fu. 191-194 [doi]
- A multiagent knowledge-based recommender approach with truth maintenanceFabiana Lorenzi. 195-198 [doi]
- Elicitation of profile attributes by transparent communicationMike Radmacher. 199-202 [doi]
- Explanations of recommendationsNava Tintarev. 203-206 [doi]
- Can social information retrieval enhance the discovery and reuse of digital educational content?Riina Vuorikari. 207-210 [doi]