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RecSys Tables of Contents: 070809101112131415

Proceedings of the 2007 ACM Conference on Recommender Systems

Fullname:Proceedings of the ACM Conference on Recommender Systems
Editors:Joseph A. Konstan; John Riedl; Barry Smyth
Location:Minneapolis, Minnesota
Dates:2007-Oct-19 to 2007-Oct-20
Standard No:ISBN: 1-59593-730-7, 978-1-59593-730-8; ACM DL: Table of Contents hcibib: RecSys07
Links:Conference Home Page
  1. Privacy and trust
  2. Algorithms: collaborative filtering
  3. User issues in recommender systems
  4. Algorithms: learning
  5. Research short papers
  6. Practice/industry track abstracts
  7. Doctoral symposium

Privacy and trust

Private distributed collaborative filtering using estimated concordance measures BIBAFull-Text 1-8
  Neal Lathia; Stephen Hailes; Licia Capra
Enhancing privacy and preserving accuracy of a distributed collaborative filtering BIBAFull-Text 9-16
  Shlomo Berkovsky; Yaniv Eytani; Tsvi Kuflik; Francesco Ricci
Trust-aware recommender systems BIBAFull-Text 17-24
  Paolo Massa; Paolo Avesani
The influence limiter: provably manipulation-resistant recommender systems BIBAFull-Text 25-32
  Paul Resnick; Rahul Sami

Algorithms: collaborative filtering

Distributed collaborative filtering with domain specialization BIBAFull-Text 33-40
  Shlomo Berkovsky; Tsvi Kuflik; Francesco Ricci
Complex-network theoretic clustering for identifying groups of similar listeners in p2p systems BIBAFull-Text 41-48
  Amelie Anglade; Marco Tiemann; Fabio Vignoli
Robust collaborative filtering BIBAFull-Text 49-56
  Bhaskar Mehta; Thomas Hofmann; Wolfgang Nejdl
A recursive prediction algorithm for collaborative filtering recommender systems BIBAFull-Text 57-64
  Jiyong Zhang; Pearl Pu

User issues in recommender systems

Supporting product selection with query editing recommendations BIBAFull-Text 65-72
  Derek Bridge; Francesco Ricci
Incorporating user control into recommender systems based on naive Bayesian classification BIBAFull-Text 73-80
  Verus Pronk; Wim Verhaegh; Adolf Proidl; Marco Tiemann
Replaying live-user interactions in the off-line evaluation of critique-based mobile recommendations BIBAFull-Text 81-88
  Quang Nhat Nguyen; Francesco Ricci
Conversational recommenders with adaptive suggestions BIBAFull-Text 89-96
  Paolo Viappiani; Pearl Pu; Boi Faltings

Algorithms: learning

Addressing uncertainty in implicit preferences BIBAFull-Text 97-104
  Sandra Clara Gadanho; Nicolas Lhuillier
Robustness of collaborative recommendation based on association rule mining BIBAFull-Text 105-112
  J. J. Sandvig; Bamshad Mobasher; Robin Burke
Usage-based web recommendations: a reinforcement learning approach BIBAFull-Text 113-120
  Nima Taghipour; Ahmad Kardan; Saeed Shiry Ghidary
Improving new user recommendations with rule-based induction on cold user data BIBAFull-Text 121-128
  An-Te Nguyen; Nathalie Denos; Catherine Berrut

Research short papers

A probabilistic model for item-based recommender systems BIBAFull-Text 129-132
  Ming Li; Benjamin Dias; Wael El-Deredy; Paulo J. G. Lisboa
A recommender system for on-line course enrollment: an initial study BIBAFull-Text 133-136
  Michael P. O'Mahony; Barry Smyth
Case Amazon: ratings and reviews as part of recommendations BIBAFull-Text 137-140
  Juha Leino; Kari-Jouko Räihä
Comparing and evaluating information retrieval algorithms for news recommendation BIBAFull-Text 141-144
  Toine Bogers; Antal van den Bosch
Influence-based collaborative active learning BIBAFull-Text 145-148
  Neil Rubens; Masashi Sugiyama
Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering BIBAFull-Text 149-152
  Tavi Nathanson; Ephrat Bitton; Ken Goldberg
Effective explanations of recommendations: user-centered design BIBAFull-Text 153-156
  Nava Tintarev; Judith Masthoff
Evaluating information presentation strategies for spoken recommendations BIBAFull-Text 157-160
  Andi Winterboer; Johanna D. Moore
Leveraging aggregate ratings for better recommendations BIBAFull-Text 161-164
  Akhmed Umyarov; Alexander Tuzhilin
Supporting social recommendations with activity-balanced clustering BIBAFull-Text 165-168
  F. Maxwell Harper; Shilad Sen; Dan Frankowski
The evaluation of a hybrid critiquing system with preference-based recommendations organization BIBAFull-Text 169-172
  Li Chen; Pearl Pu
The KeepUP recommender system BIBAFull-Text 173-176
  Andrew Webster; Julita Vassileva
Towards ensemble learning for hybrid music recommendation BIBAFull-Text 177-178
  Marco Tiemann; Steffen Pauws
Toward the exploitation of social access patterns for recommendation BIBAFull-Text 179-182
  Jill Freyne; Rosta Farzan; Maurice Coyle

Practice/industry track abstracts

TechLens: a researcher's desktop BIBAFull-Text 183-184
  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 BIBAFull-Text 185-186
  Joseph F. McCarthy

Doctoral symposium

A hybrid social-acoustic recommendation system for popular music BIBAFull-Text 187-190
  Justin Donaldson
Evaluating sources of implicit feedback in web searches BIBAFull-Text 191-194
  Xin Fu
A multiagent knowledge-based recommender approach with truth maintenance BIBAFull-Text 195-198
  Fabiana Lorenzi
Elicitation of profile attributes by transparent communication BIBAFull-Text 199-202
  Mike Radmacher
Explanations of recommendations BIBAFull-Text 203-206
  Nava Tintarev
Can social information retrieval enhance the discovery and reuse of digital educational content? BIBAFull-Text 207-210
  Riina Vuorikari