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UM
2009
Springer
13 years 9 months ago
History Dependent Recommender Systems Based on Partial Matching
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Armelle Brun, Geoffray Bonnin, Anne Boyer
KDD
2002
ACM
196views Data Mining» more  KDD 2002»
14 years 5 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler
TSMC
2008
109views more  TSMC 2008»
13 years 4 months ago
Providing Justifications in Recommender Systems
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
PVLDB
2008
137views more  PVLDB 2008»
13 years 4 months ago
EasyTicket: a ticket routing recommendation engine for enterprise problem resolution
Managing problem tickets is a key issue in the IT services industry. A large service provider may handle thousands of problem tickets from its customer on daily basis. The efficie...
Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos A...
SIGIR
2011
ACM
12 years 7 months ago
Utilizing marginal net utility for recommendation in e-commerce
Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...
Jian Wang, Yi Zhang