Sciweavers

283 search results - page 16 / 57
» Modeling Preferences in a Distributed Recommender System
Sort
View
SIGIR
2009
ACM
14 years 1 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
ICSOC
2009
Springer
13 years 5 months ago
Fine-Grained Recommendation Systems for Service Attribute Exchange
Abstract. The effectiveness of service oriented computing relies on the trustworthiness of sharing of data between services. We advocate a semi-automated approach for information d...
Christopher Staite, Rami Bahsoon, Stephen Wolak
SIGIR
2008
ACM
13 years 7 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang