Proceedings of the 2007 ACM Conference on Recommender Systems

Publisher
ACM Press
Website
Year
2007
Period
Place
ISBN
Series
RecSys - International Conference on Recommender Systems
DOI
Volume
Copyright info

Description

The ACM Recommender System conference is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviours and user similarities to generate a list of information items that is personally tailored to an end-user's preferences

All years

Articles

Lathia, Neal, Hailes, Stephen, Capra, Licia (2007): Private distributed collaborative filtering using estimated concordance measures. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 1-8. https://dx.doi.org/10.1145/1297231.1297233

Sandvig, J. J., Mobasher, Bamshad, Burke, Robin (2007): Robustness of collaborative recommendation based on association rule mining. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 105-112. https://dx.doi.org/10.1145/1297231.1297249

Taghipour, Nima, Kardan, Ahmad, Ghidary, Saeed Shiry (2007): Usage-based web recommendations: a reinforcement learning approach. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 113-120. https://dx.doi.org/10.1145/1297231.1297250

Nguyen, An-Te, Denos, Nathalie, Berrut, Catherine (2007): Improving new user recommendations with rule-based induction on cold user data. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 121-128. https://dx.doi.org/10.1145/1297231.1297251

Li, Ming, Dias, Benjamin, El-Deredy, Wael, Lisboa, Paulo J. G. (2007): A probabilistic model for item-based recommender systems. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 129-132. https://dx.doi.org/10.1145/1297231.1297253

O'Mahony, Michael P., Smyth, Barry (2007): A recommender system for on-line course enrollment: an initial study. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 133-136. https://dx.doi.org/10.1145/1297231.1297254

Leino, Juha, Räihä, Kari-Jouko (2007): Case Amazon: ratings and reviews as part of recommendations. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 137-140. https://dx.doi.org/10.1145/1297231.1297255

Bogers, Toine, Bosch, Antal van den (2007): Comparing and evaluating information retrieval algorithms for news recommendation. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 141-144. https://dx.doi.org/10.1145/1297231.1297256

Rubens, Neil, Sugiyama, Masashi (2007): Influence-based collaborative active learning. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 145-148. https://dx.doi.org/10.1145/1297231.1297257

Nathanson, Tavi, Bitton, Ephrat, Goldberg, Ken (2007): Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 149-152. https://dx.doi.org/10.1145/1297231.1297258

Tintarev, Nava, Masthoff, Judith (2007): Effective explanations of recommendations: user-centered design. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 153-156. https://dx.doi.org/10.1145/1297231.1297259

Winterboer, Andi, Moore, Johanna D. (2007): Evaluating information presentation strategies for spoken recommendations. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 157-160. https://dx.doi.org/10.1145/1297231.1297260

Umyarov, Akhmed, Tuzhilin, Alexander (2007): Leveraging aggregate ratings for better recommendations. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 161-164. https://dx.doi.org/10.1145/1297231.1297261

Harper, F. Maxwell, Sen, Shilad, Frankowski, Dan (2007): Supporting social recommendations with activity-balanced clustering. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 165-168. https://dx.doi.org/10.1145/1297231.1297262

Chen, Li, Pu, Pearl (2007): The evaluation of a hybrid critiquing system with preference-based recommendations organiz. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 169-172. https://dx.doi.org/10.1145/1297231.1297263

Massa, Paolo, Avesani, Paolo (2007): Trust-aware recommender systems. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 17-24. https://dx.doi.org/10.1145/1297231.1297235

Webster, Andrew, Vassileva, Julita (2007): The KeepUP recommender system. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 173-176. https://dx.doi.org/10.1145/1297231.1297264

Tiemann, Marco, Pauws, Steffen (2007): Towards ensemble learning for hybrid music recommendation. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 177-178. https://dx.doi.org/10.1145/1297231.1297265

Freyne, Jill, Farzan, Rosta, Coyle, Maurice (2007): Toward the exploitation of social access patterns for recommendation. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 179-182. https://dx.doi.org/10.1145/1297231.1297266

Kapoor, Nishikant, Chen, Jilin, Butler, John T., Fouty, Gary C., Stemper, James A., Riedl, John, Konstan, Joseph A. (2007): TechLens: a researcher's desktop. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 183-184. https://dx.doi.org/10.1145/1297231.1297268

McCarthy, Joseph F. (2007): The challenges of recommending digital selves in physical spaces. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 185-186. https://dx.doi.org/10.1145/1297231.1297269

Donaldson, Justin (2007): A hybrid social-acoustic recommendation system for popular music. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 187-190. https://dx.doi.org/10.1145/1297231.1297271

Fu, Xin (2007): Evaluating sources of implicit feedback in web searches. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 191-194. https://dx.doi.org/10.1145/1297231.1297272

Lorenzi, Fabiana (2007): A multiagent knowledge-based recommender approach with truth maintenance. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 195-198. https://dx.doi.org/10.1145/1297231.1297273

Radmacher, Mike (2007): Elicitation of profile attributes by transparent communication. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 199-202. https://dx.doi.org/10.1145/1297231.1297274

Tintarev, Nava (2007): Explanations of recommendations. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 203-206. https://dx.doi.org/10.1145/1297231.1297275

Resnick, Paul, Sami, Rahul (2007): The influence limiter: provably manipulation-resistant recommender systems. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 25-32. https://dx.doi.org/10.1145/1297231.1297236

Berkovsky, Shlomo, Kuflik, Tsvi, Ricci, Francesco (2007): Distributed collaborative filtering with domain specialization. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 33-40. https://dx.doi.org/10.1145/1297231.1297238

Anglade, Amelie, Tiemann, Marco, Vignoli, Fabio (2007): Complex-network theoretic clustering for identifying groups of similar listeners in p2p sy. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 41-48. https://dx.doi.org/10.1145/1297231.1297239

Mehta, Bhaskar, Hofmann, Thomas, Nejdl, Wolfgang (2007): Robust collaborative filtering. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 49-56. https://dx.doi.org/10.1145/1297231.1297240

Zhang, Jiyong, Pu, Pearl (2007): A recursive prediction algorithm for collaborative filtering recommender systems. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 57-64. https://dx.doi.org/10.1145/1297231.1297241

Bridge, Derek, Ricci, Francesco (2007): Supporting product selection with query editing recommendations. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 65-72. https://dx.doi.org/10.1145/1297231.1297243

Pronk, Verus, Verhaegh, Wim, Proidl, Adolf, Tiemann, Marco (2007): Incorporating user control into recommender systems based on naive Bayesian classification. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 73-80. https://dx.doi.org/10.1145/1297231.1297244

Nguyen, Quang Nhat, Ricci, Francesco (2007): Replaying live-user interactions in the off-line evaluation of critique-based mobile recom. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 81-88. https://dx.doi.org/10.1145/1297231.1297245

Viappiani, Paolo, Pu, Pearl, Faltings, Boi (2007): Conversational recommenders with adaptive suggestions. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 89-96. https://dx.doi.org/10.1145/1297231.1297246

Berkovsky, Shlomo, Eytani, Yaniv, Kuflik, Tsvi, Ricci, Francesco (2007): Enhancing privacy and preserving accuracy of a distributed collaborative filtering. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 9-16. https://dx.doi.org/10.1145/1297231.1297234

Gadanho, Sandra Clara, Lhuillier, Nicolas (2007): Addressing uncertainty in implicit preferences. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 97-104. https://dx.doi.org/10.1145/1297231.1297248

New to UX Design? We're Giving You a Free eBook!

The Basics of User Experience Design

Download our free ebook “The Basics of User Experience Design” to learn about core concepts of UX design.

In 9 chapters, we’ll cover: conducting user interviews, design thinking, interaction design, mobile UX design, usability, UX research, and many more!

A valid email address is required.
315,306 designers enjoy our newsletter—sure you don’t want to receive it?

New to UX Design? We're Giving You a Free eBook!

The Basics of User Experience Design

Download our free ebook “The Basics of User Experience Design” to learn about core concepts of UX design.

In 9 chapters, we’ll cover: conducting user interviews, design thinking, interaction design, mobile UX design, usability, UX research, and many more!

A valid email address is required.
315,306 designers enjoy our newsletter—sure you don’t want to receive it?