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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
14 years 19 days 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
JCP
2006
117views more  JCP 2006»
13 years 8 months ago
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
Karen H. L. Tso, Lars Schmidt-Thieme
ECWEB
2010
Springer
163views ECommerce» more  ECWEB 2010»
13 years 9 months ago
Social Networks as Data Source for Recommendation Systems
Abstract. Reviews and review based rankings are widely used in recommendation systems to provide potential customers quality information about selected products. During the last ye...
Mathias Bank, Juergen Franke
ICDM
2010
IEEE
111views Data Mining» more  ICDM 2010»
13 years 6 months ago
ValuePick: Towards a Value-Oriented Dual-Goal Recommender System
Given a user in a social network, which new friends should we recommend, the dual goal being to achieve user satisfaction and good network connectivity? Similarly, which new produc...
Leman Akoglu, Christos Faloutsos
IFIPTM
2009
171views Management» more  IFIPTM 2009»
13 years 6 months ago
Trust-Enhanced Recommender Systems for Efficient On-Line Collaboration
Trust has been explored by many researchers in the past as a solution for assisting the process of recommendation production. In this work we are examining the feasibility of build...
Georgios Pitsilis