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WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 4 days ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
CSCW
2012
ACM
12 years 8 days ago
Friends, romans, countrymen: lend me your URLs. using social chatter to personalize web search
People often find useful content on the web via social media. However, it is difficult to manually aggregate the information and recommendations embedded in a torrent of social ...
Abhinay Nagpal, Sudheendra Hangal, Rifat Reza Joye...
ICDE
2012
IEEE
257views Database» more  ICDE 2012»
11 years 7 months ago
LARS: A Location-Aware Recommender System
Abstract—This paper proposes LARS, a location-aware recommender system that uses location-based ratings to produce recommendations. Traditional recommender systems do not conside...
Justin J. Levandoski, Mohamed Sarwat, Ahmed Eldawy...
WINE
2009
Springer
200views Economy» more  WINE 2009»
13 years 9 months ago
Pricing Strategies for Viral Marketing on Social Networks
Abstract. We study the use of viral marketing strategies on social networks that seek to maximize revenue from the sale of a single product. We propose a model in which the decisio...
David Arthur, Rajeev Motwani, Aneesh Sharma, Ying ...
WWW
2009
ACM
14 years 5 months ago
Retaining personal expression for social search
Web is being extensively used for personal expression, which includes ratings, reviews, recommendations, blogs. This user created content, e.g. book review on Amazon.com, becomes ...
Praphul Chandra, Ajay Gupta