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» Detecting product review spammers using rating behaviors
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CIKM
2010
Springer
13 years 3 months ago
Detecting product review spammers using rating behaviors
This paper aims to detect users generating spam reviews or review spammers. We identify several characteristic behaviors of review spammers and model these behaviors so as to dete...
Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Li...
WEBDB
2009
Springer
159views Database» more  WEBDB 2009»
13 years 11 months ago
Beyond the Stars: Improving Rating Predictions using Review Text Content
Online reviews are an important asset for users deciding to buy a product, see a movie, or go to a restaurant, as well as for businesses tracking user feedback. However, most revi...
Gayatree Ganu, Noemie Elhadad, Amélie Maria...
RECSYS
2009
ACM
13 years 11 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
WWW
2008
ACM
14 years 5 months ago
How to influence my customers?: the impact of electronic market design
This paper investigates the strategic decisions of online vendors for offering different mechanism, such as sampling and online reviews of information products, to increase their ...
Nan Hu, Ling Liu, Bin Chen, Jialie Shen
IFIPTM
2010
113views Management» more  IFIPTM 2010»
13 years 3 months ago
Impact of Trust Management and Information Sharing to Adversarial Cost in Ranking Systems
Ranking systems such as those in product review sites and recommender systems usually use ratings to rank favorite items based on both their quality and popularity. Since higher ra...
Le-Hung Vu, Thanasis G. Papaioannou, Karl Aberer