Sciweavers

394 search results - page 5 / 79
» Learning to recommend questions based on user ratings
Sort
View
TKDE
2012
236views Formal Methods» more  TKDE 2012»
13 years 3 days ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
ICTAI
2008
IEEE
15 years 4 months ago
A Lattice-Based Model for Recommender Systems
A major challenge in building recommender systems is organizing the recommendation space since, the underlying data organization scheme has a significant impact on the overall pe...
Shriram Narayanaswamy, Raj Bhatnagar
SIGIR
2011
ACM
14 years 16 days ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
SIGIR
2012
ACM
13 years 4 days ago
Predicting the ratings of multimedia items for making personalized recommendations
Existing multimedia recommenders suggest a specific type of multimedia items rather than items of different types personalized for a user based on his/her preference. Assume tha...
Rani Qumsiyeh, Yiu-Kai Ng
SIGKDD
2008
138views more  SIGKDD 2008»
14 years 9 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl