International Journal of Computer Science Issues

More than a traditional journal...

Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. Sources of these problems include the lack of support for query refinement. Web search engines typically provide search results without considering user interests or context. This in turn increases the overhead on the search engine server. To address these issues we propose a novel interactive guided Online/offline search mechanism. The system allows user to choose for normal or combinational search [5] of the query string and allows the user to store the best search results for the query string. The proposed system also provides option for off-line search which searches from the bundle of stored results. Systems which implemented offline search require downloading and installing the stored bundle of search results before using it. The proposed system is an interactive web based search facility both offline and online. The system doesn't require installing the bundle of saved search results for offline searching, as the search results are added to the bundle interactively as chosen by the user. The system is very likely to return the best possible result as it uses combinational search. The result from the combination search can be stored and can be searched again offline. Experiments revealed that combination search of keywords in query yields variety of results. Thus the Bundle of Stored result consists of best possible results as the user chooses to save in it. This will enhance the systems searching capabilities offline, which in turn reduces the burden on the search engine server.