Interpreting search objectives of a user using feedback sessions
Reshma S Babu, Janu R. Panicker, P H Neethu · 2016
The inference and analysis of user search goals helps in improving search engine relevance. Search goals are interpreted accurately without any ambiguity on the basis of feedbacks collected from different users. This paper mainly focuses on devising a new searching strategy into social networking sites in order to restructure and refine the search goal of a user using his feedback sessions. Nowadays, most of the search engines give a wide list of results for the search query and they are not able to satisfy an exact need of a users intention. Hence exact search results are not obtained. Research and thesis show that in social networking sites, a feedback based search engine has not yet been implemented. Major processing steps are clustering, collecting feedback scores of each user and finally on the basis of collected feedbacks search results are restructured.