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IIR
2010
15 years 6 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
ICWS
2008
IEEE
15 years 6 months ago
A Trust Vector Approach to Service-Oriented Applications
Trust is a critical issue in e-commerce and e-service environments. In some applications (such as eBay), the trust management mechanisms have been introduced to provide valuable i...
Lei Li, Yan Wang 0002
IMECS
2007
15 years 6 months ago
The Evaluation Study of Customer Satisfaction Based on Gray - AHP Method for B2C Electronic-Commerce Enterprise
—Under electronic commerce, how to raise the consumers’ degree of satisfaction and gain the consumers’ loyalty have become the key factor relating with whether e-commerce ent...
Minghe Wang, Peide Liu, Guoli Ou
SODA
2007
ACM
145views Algorithms» more  SODA 2007»
15 years 6 months ago
Aggregation of partial rankings, p-ratings and top-m lists
We study the problem of aggregating partial rankings. This problem is motivated by applications such as meta-searching and information retrieval, search engine spam fighting, e-c...
Nir Ailon
EMNLP
2006
15 years 6 months ago
Automatically Assessing Review Helpfulness
User-supplied reviews are widely and increasingly used to enhance ecommerce and other websites. Because reviews can be numerous and varying in quality, it is important to assess h...
Soo-Min Kim, Patrick Pantel, Timothy Chklovski, Ma...