A Theme-based Search Technique

• Main Authors: Nida Al-chalabi, Khalil Shihab
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Subjects: Information Filtering; User’s Model; Search Engines; Latent Search Analysis; Orca
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.3008; http://www.wseas.us/e-library/conferences/2007cscc/papers/561-331.pdf

Abstract:- This work presents an intelligent search engine, called ORCA, that returns the most relevant documents for user’s queries. This search engine analyses the queries and builds themes (models) to be used when the engine is confronted with similar queries. The intelligent component is used for constructing a model of the user behavior and using that model to fetch and even pre-fetch information and documents considered of interest to the user. It uses both latent semantic analysis and web page feature selection for clustering web pages. Latent semantic analysis is used to find the semantic relations between keywords, and between documents.