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SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
Entities on social systems, such as users on Twitter, and images on Flickr, are at the core of many interesting applications: they can be ranked in search results, recommended to ...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
HICSS
2003
IEEE
14 years 22 days ago
2003
IEEE
With the growing amount of information being digitized, users find it difficult to obtain the most relevant information that is hidden in the deluge of information returned to the...
EWCBR
2000
Springer
13 years 11 months ago
2000
Springer
Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...
ECIR
2010
Springer
13 years 9 months ago
2010
Springer
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...