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RECSYS
2009
ACM
14 years 2 months ago
A partial-order based active cache for recommender systems
Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michae...
INTERACT
2003
13 years 9 months ago
Confidence Displays and Training in Recommender Systems
: Recommender systems help users sort through vast quantities of information. Sometimes, however, users do not know if they can trust the recommendations they receive. Adding a con...
Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff,...
ICSE
2009
IEEE-ACM
14 years 4 days ago
A-SCORE: Automatic software component recommendation using coding context
Reusing software components (e.g. classes or modules) improves software quality and developer’s productivity. Unfortunately, developers may miss many reusing opportunities since...
Ryuji Shimada, Yasuhiro Hayase, Makoto Ichii, Mako...
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
13 years 9 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee
SGAI
2004
Springer
14 years 27 days ago
Incremental Critiquing
Conversational recommender systems guide users through a product space, alternatively making concrete product suggestions and eliciting the user’s feedback. Critiquing is a comm...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...