Title :
Helping online customers decide through Web personalization
Author_Institution :
Kyungpook Nat. Univ., Taegu, South Korea
Abstract :
The Web-based personalization system proposed here uses both collaborative filtering and Web usage mining to give online shoppers the personalized recommendations they need to purchase products more intelligently.
Keywords :
data mining; electronic commerce; search engines; Web usage mining; Web-based personalization; collaborative filtering; e-commerce; online shoppers; rule-based filtering; Collaboration; Collaborative tools; Consumer electronics; Data mining; Demography; History; Information filtering; Information filters; Recommender systems; Turning;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2002.1134360
