Collaborative Web Search
Abstract
Web search engines struggle to satisfy the needs of Web users. Users are notoriously poor at representing their needs in the form of a query, and search engines are poor at responding to vague queries. However progress has been made by introducing context into the search process. In this paper we describe and evaluate a novel approach to using context in Web search that adapts a generic search engine for the needs of a specialist community of users. This collaborative search method enjoys significant performance benefits and avoids the privacy and security concerns that are commonly associated with related personalization research.
Cite
Text
Smyth et al. "Collaborative Web Search." International Joint Conference on Artificial Intelligence, 2003.Markdown
[Smyth et al. "Collaborative Web Search." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/smyth2003ijcai-collaborative/)BibTeX
@inproceedings{smyth2003ijcai-collaborative,
title = {{Collaborative Web Search}},
author = {Smyth, Barry and Balfe, Evelyn and Briggs, Peter and Coyle, Maurice and Freyne, Jill},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2003},
pages = {1417-1419},
url = {https://mlanthology.org/ijcai/2003/smyth2003ijcai-collaborative/}
}