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Author: Pavel Surynek

Affiliation: Charles University in Prague, Czech Republic

Keyword(s): Collaborative Web Search, Social Search, Search Engine, Search Results, Collaborative Filtering, Recommender Systems, System Integration.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Collaboration and e-Services ; Context ; e-Business ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Paradigm Trends ; Process Knowledge and Semantic Services ; Semantic Web ; Soft Computing ; Software Engineering ; Symbolic Systems

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 systems. An initial experience with web search powering small academic site is reported finally.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Surynek, P. (2013). A Survey of Collaborative Web Search - Through Collaboration among Search Engine Users to More Relevant Results. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD; ISBN 978-989-8565-81-5; ISSN 2184-3228, SciTePress, pages 331-336. DOI: 10.5220/0004621803310336

@conference{keod13,
author={Pavel Surynek.},
title={A Survey of Collaborative Web Search - Through Collaboration among Search Engine Users to More Relevant Results},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD},
year={2013},
pages={331-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004621803310336},
isbn={978-989-8565-81-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD
TI - A Survey of Collaborative Web Search - Through Collaboration among Search Engine Users to More Relevant Results
SN - 978-989-8565-81-5
IS - 2184-3228
AU - Surynek, P.
PY - 2013
SP - 331
EP - 336
DO - 10.5220/0004621803310336
PB - SciTePress