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133
Voted
ISR
2011
14 years 9 months ago
REQUEST: A Query Language for Customizing Recommendations
Initially popularized by Amazon.com, recommendation technologies have become widespread over the past several years. However, the types of recommendations available to the users i...
Gediminas Adomavicius, Alexander Tuzhilin, Rong Zh...
133
Voted
CIKM
2010
Springer
14 years 9 months ago
On bootstrapping recommender systems
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
Nadav Golbandi, Yehuda Koren, Ronny Lempel
106
Voted
HT
2010
ACM
15 years 4 days ago
Enhancing search applications by utilizing mind maps
In this paper we present how sharing and utilizing mind maps could enhance search applications such as document search engines and recommender systems. In addition, we briefly pre...
Jöran Beel, Bela Gipp
147
Voted
DOLAP
2010
ACM
15 years 5 days ago
Integrating OLAP and recommender systems: an evaluation perspective
The integration of OLAP with web-search technologies is a promising research topic. Recommender systems are popular web-search mechanisms, because they can address information ove...
Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lar...
141
Voted
ICWSM
2009
15 years 15 days ago
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...
132
Voted
DATESO
2009
109views Database» more  DATESO 2009»
15 years 18 days ago
Various aspects of user preference learning and recommender systems
In this paper, we describe area of recommender systems, with focus on user preference learning problem. We describe such system and identify some interesting problems. We will comp...
Alan Eckhardt
151
Voted
AICS
2009
15 years 19 days ago
Robustness Analysis of Model-Based Collaborative Filtering Systems
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
Zunping Cheng, Neil Hurley
131
Voted
WEBI
2010
Springer
15 years 19 days ago
Reducing the Cold-Start Problem in Content Recommendation through Opinion Classification
Like search engines, recommender systems have become a tool that cannot be ignored by websites with a large selection of products, music, news or simply webpages links. The perform...
Damien Poirier, Françoise Fessant, Isabelle...
138
Voted
OPODIS
2010
15 years 21 days ago
Application of Random Walks to Decentralized Recommender Systems
The need for efficient decentralized recommender systems has been appreciated for some time, both for the intrinsic advantages of decentralization and the necessity of integrating...
Anne-Marie Kermarrec, Vincent Leroy, Afshin Moin, ...
122
Voted
ICDM
2010
IEEE
121views Data Mining» more  ICDM 2010»
15 years 23 days ago
Recommending Social Events from Mobile Phone Location Data
A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one de...
Daniele Quercia, Neal Lathia, Francesco Calabrese,...