personalized ontology for web search personalization
The highest problem faced by the users of web search today is the quality and the amount of the results they get back. The results often frustrate and consume precious time of the users. Most of the existing search engines perform searches that are keyword-based. They get the search query for the user, search for the presence of search words in the web documents, rank them and display the results to the user. The semantics of the user query and also the intention of the user are not considered. Hence to improve searching in the WWW, a new personalized search index called User Conceptual Index (UCI) has been designed, which provides a conceptual relation between the search keywords and the pages, which matches the user's information need. This paper focuses towards the development of automatically identified user profile called as a personalized ontology and page ontology for the improvement of an existing personalized web search system based on the UCI.
personalization personalized ontology ontologies web web search search user user quality timing search engine query presence documentation ranking semantic intent personalized search indexing relation paging information need paper developer user profile systems architecture users