Abstract

Search engines are programs that search documents for specified keywords and returns a list of the documents where the keywords were found. A search engine is really a general class of programs; however, the term is often used to specifically describe systems like Google, Bing and Yahoo! Search that enable users to search for documents on the World Wide Web. The Text Component, The Link Component, The Popularity Component are the 3 Key Components in Search Engine Optimization. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. Although the research on inferring user goals or intents for text search has received much attention, little has been proposed for image search. To indicates high correlations among the clicked images in a session in user click-through logs, and combine it with the clicked images’ visual information for inferring user image-search goals, we propose to leverage click session information.

Authors and Affiliations