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» Analysis of recommendation algorithms for e-commerce
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CAINE
2009
13 years 5 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
SIGIR
2009
ACM
14 years 2 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
JCDL
2011
ACM
272views Education» more  JCDL 2011»
12 years 10 months ago
CollabSeer: a search engine for collaboration discovery
Collaborative research has been increasingly popular and important in academic circles. However, there is no open platform available for scholars or scientists to effectively dis...
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde ...
MM
2003
ACM
110views Multimedia» more  MM 2003»
14 years 22 days ago
Music thumbnailing via structural analysis
Music thumbnailing (or music summarization) aims at finding the most representative part of a song, which can be used for web browsing, web searching and music recommendation. Thr...
Wei Chai, Barry Vercoe
ICASSP
2009
IEEE
14 years 2 months ago
Cultural style based music classification of audio signals
Music classification based on cultural style is useful for music analysis and has potential applications in retrieval and recommendation systems. In this paper, we present the fir...
Yuxiang Liu, Qiaoliang Xiang, Ye Wang, Lianhong Ca...