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SIGECOM
2006
ACM
96views ECommerce» more  SIGECOM 2006»
13 years 11 months ago
Optimal pricing with recommender systems
Abstract We study optimal pricing in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertaint...
Dirk Bergemann, Deran Ozmen
WECWIS
2006
IEEE
161views ECommerce» more  WECWIS 2006»
13 years 11 months ago
Better control on recommender systems
In the context of electronic commerce, recommender systems enable merchants to assist customers in finding available products that will best satisfy their need. However, a recomm...
Esma Aïmeur, Flavien Serge Mani Onana
UM
2007
Springer
13 years 11 months ago
Modeling Preferences in a Distributed Recommender System
Abstract. A good way to help users finding relevant items on document platforms consists in suggesting content in accordance with their preferences. When implementing such a recom...
Sylvain Castagnos, Anne Boyer
UM
2007
Springer
13 years 11 months ago
Push-Poll Recommender System: Supporting Word of Mouth
Abstract. Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending i...
Andrew Webster, Julita Vassileva
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
13 years 11 months ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlyi...
Mónica Díez, Paulo Villegas
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
13 years 11 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
AH
2008
Springer
13 years 11 months ago
Concept-Based Document Recommendations for CiteSeer Authors
The information explosion in today’s electronic world has created the need for information filtering techniques that help users filter out extraneous content to identify the righ...
Kannan Chandrasekaran, Susan Gauch, Praveen Lakkar...
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
13 years 11 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
ICDIM
2008
IEEE
13 years 11 months ago
A holographic associative memory recommender system
We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations a...
Matthew Rutledge-Taylor, Andre Vellino, Robert L. ...
UIST
2009
ACM
13 years 11 months ago
CommunityCommands: command recommendations for software applications
We explore the use of modern recommender system technology to address the problem of learning software applications. Before describing our new command recommender system, we first...
Justin Matejka, Wei Li, Tovi Grossman, George W. F...