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Transactional Query Identification in Web Search

Authors: Inho Kang;

Transactional Query Identification in Web Search

Abstract

User queries on the Web can be classified into three types according to user’s intention: informational query, navigational query and transactional query. In this paper, a query type classification method and Service Link information for transactional queries are proposed. Web mediated activity is usually implemented by hyperlinks. Hyperlinks can be good indicators in classifying queries and retrieving good answer pages for transactional queries. A hyperlink related to an anchor text has an anticipated action with a linked object. Possible actions are reading, visiting and downloading a linked object. We can assign a possible action to each anchor text. These tagged anchor texts can be used as training data for query type classification. We can collect a large-scale and dynamic train query set automatically. To see the accuracy of the proposing classification method, various experiments were conducted. From experiments, I could achieve 91% of possible improvement for transactional queries with our classification method.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Average
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