94 search results - page 2 / 19 » Temperament-Based Information Filtering: A Human Factors App... |
CIKM
2008
Springer
13 years 7 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...
RECSYS
2010
ACM
13 years 2 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Current recommendation methods are mainly classified into contentbased, collaborative filtering and hybrid methods. These methods are based on similarity measurements among item...
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
CHI
2011
ACM
12 years 8 months ago
2011
ACM
Finding relevant information within the vast amount of information exchanged via feeds is difficult. Previous research into this problem has largely focused on recommending relev...