COS: A frame work for Clustered off-line Search

It is common for web searchers to have difficulties crafting queries tofu fill their information needs. Even when they provide a good query, users often find it challenging to evaluate the results of their web searches. Sources of these problems include the lack of support for query refinement. It also increases the overhead on the search engine server because the same user uses the server multiple times, refining the same query to get expected web search results. To address these issues, we propose a novel frame work of COS, Clustered Off-line Search System, a client-server architecture which consists of a search engine for indexing the WWW. It takes a master query and identifies clusters from the search query results, packs them as a downloadable file which contains the web pages and their index data of the result URLs from the cluster selected by the user from the search results thus enabling the users to access them offline i.e. the subsequent searches can be performed at the clients end eliminating the need to contact the server again and again.