Extraction of Feature Words with the Same Generality Level as Query using Restricted Bootstrapping | Zendy

Jun Zeng | Zendy; Toshihiko Sakai | Zendy; Brendan Flanagan | Zendy; Sachio Hirokawa | Zendy

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Extraction of Feature Words with the Same Generality Level as Query using Restricted Bootstrapping

Author(s) -

Jun Zeng,

Toshihiko Sakai,

Brendan Flanagan,

Sachio Hirokawa

Publication year - 2012

Publication title -

kyushu university institutional repository (qir) (kyushu university)

Language(s) - English

Resource type - Conference proceedings

ISBN - 978-1-4673-6246-7

DOI - 10.1109/cec.2012.40

Subject(s) - computer science , bootstrapping (finance) , wordnet , generality , web search query , feature (linguistics) , information retrieval , simple (philosophy) , similarity (geometry) , query expansion , web query classification , measure (data warehouse) , query optimization , data mining , artificial intelligence , search engine , mathematics , psychology , philosophy , epistemology , psychotherapist , image (mathematics) , econometrics , linguistics

It is not so simple to get an appropriated level of search result among a large number of targets which might be too general or too specific. Hints for the query are valuable for a user to expand or shrink his next search step, if the hints would be shown with their levels compared with the user's original query. This paper proposes a method to extract feature words of the same level as user's query using restricted bootstrap. Examples are shown to demonstrate the effectiveness of the method on tourism blogs. The paper proposes an evaluation measure for the similarity of levels for words based on WordNet.

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