A Survey of Collaborative Web Search: Through Collaboration among Search Engine Users to More Relevant Results
2013
Abstract
A survey on collaborative aspects of web search is presented in this paper. Current state in full-text web search engines with regards on users collaboration is given.
The position of the paper is that it is becoming increasingly important to learn from other users searches in a collaborative way in order to provide more relevant results and increase benefit from web search sessions. Recommender systems represent a rich source of concepts that could be employed to enable collaboration in web search.
A discussion of techniques used in recommender systems is followed by a suggestion of integration web search with recommender sys-tems. An initial experience with web search powering small academic site is reported finally.