Query and content suggestion based on latent interest and topic class

To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LSM is that it can archive user models and latent semantic analysis on one map to support instantaneous information retrieval. With this characteristic, the LSM can improve search engines in terms of not only user support but also search results. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: Information filtering, Query formulation and Retrieval models General Terms Algorithms, Human factors Keywords Information retrieval, query suggestion, document suggestion, document categorization, latent semantic map

• Type: Conference
• Year: 2004
• Where: WWW
• Authors: Noriaki Kawaeme, Hideaki Suzuki, Osamu Mizuno
• Keywords: Internet Technology, Latent Semantic Analysis, Latent Semantic Map, User Information Retrieval, WWW 2004