User modeling for personalized web search with self-organizing map

• Main Authors: Chen, Ding, Patra, Jagdish Chandra
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• Online Access: https://hdl.handle.net/10356/94185; http://hdl.handle.net/10220/7100
• Institution: Nanyang Technological University

The widely used Web search engines index and recommend individual Web pages in response to a few keywords queries to assist users in locating relevant documents. However, the Web search engines give different users the same answer set, although the users may have different preferences. A personalized Web search would carry out the search for each user according to his or her preferences. To conduct the personalized Web search, the authors provide a novel approach to model the user profile with a self-organizing map (SOM). Their results indicate that SOM is capable of helping the user to find the related category for each query used in the Web search to make a personalized Web search effective.