This paper proposes a method to allow users to search for Web pages according to their search intentions. We introduce a degree of “unconfidence” for each term in a Web search query. We first investigate the relationships among query terms by accessinga Web search engine. Next, according to a degree of users’ unconfidences for each query term and the relationships among queryterms, our system finds alternative terms by accessing to a Web search engine. Then, our system generates a collection ofnew queries that are different from the original query and merges the Web search results obtained for each new query. We implementedour system and showed the usefulness of our system based on user evaluation.
Description
Submission title was:
"Query Intent Detection Based on Users' Ambiguities on Query Terms and Web Knowledge Extraction"
%0 Journal Article
%1 kaneko2008
%A Kaneko, Y.
%A Nakamura, S.
%A Ohshima, H.
%A Tanaka, K.
%D 2008
%J Digital Libraries: Universal and Ubiquitous Access to Information
%K MUSTREAD goals search
%P 71--81
%T Query Relaxation Based on Users’ Unconfidences on Query Terms and Web Knowledge Extraction
%U http://dx.doi.org/10.1007/978-3-540-89533-6_8
%X This paper proposes a method to allow users to search for Web pages according to their search intentions. We introduce a degree of “unconfidence” for each term in a Web search query. We first investigate the relationships among query terms by accessinga Web search engine. Next, according to a degree of users’ unconfidences for each query term and the relationships among queryterms, our system finds alternative terms by accessing to a Web search engine. Then, our system generates a collection ofnew queries that are different from the original query and merges the Web search results obtained for each new query. We implementedour system and showed the usefulness of our system based on user evaluation.
@article{kaneko2008,
abstract = {This paper proposes a method to allow users to search for Web pages according to their search intentions. We introduce a degree of “unconfidence” for each term in a Web search query. We first investigate the relationships among query terms by accessinga Web search engine. Next, according to a degree of users’ unconfidences for each query term and the relationships among queryterms, our system finds alternative terms by accessing to a Web search engine. Then, our system generates a collection ofnew queries that are different from the original query and merges the Web search results obtained for each new query. We implementedour system and showed the usefulness of our system based on user evaluation.},
added-at = {2009-02-11T11:18:39.000+0100},
author = {Kaneko, Y. and Nakamura, S. and Ohshima, H. and Tanaka, K.},
biburl = {https://www.bibsonomy.org/bibtex/22cdd6bd5cf33202f1a5e803ce45a2133/mstrohm},
description = {Submission title was:
"Query Intent Detection Based on Users' Ambiguities on Query Terms and Web Knowledge Extraction"},
interhash = {95f3efbb4b5af885a85b9044171e6a59},
intrahash = {2cdd6bd5cf33202f1a5e803ce45a2133},
journal = {Digital Libraries: Universal and Ubiquitous Access to Information},
keywords = {MUSTREAD goals search},
pages = {71--81},
timestamp = {2009-02-11T11:18:39.000+0100},
title = {Query Relaxation Based on Users’ Unconfidences on Query Terms and Web Knowledge Extraction},
url = {http://dx.doi.org/10.1007/978-3-540-89533-6_8},
year = 2008
}