A Rule-Based Short Query Intent Identification System
Arijit De, Sunil Kumar Kopparapu
TL;DR
This paper presents a rule-based system for identifying the domain of short SMS queries to enhance targeted information retrieval, using two different rule-bases evaluated experimentally.
Contribution
It introduces a novel rule-based approach with two strategies for domain identification in SMS queries, improving search relevance.
Findings
Two rule-bases outperform baseline methods
High accuracy in domain classification
Effective for SMS-based information retrieval
Abstract
Using SMS (Short Message System), cell phones can be used to query for information about various topics. In an SMS based search system, one of the key problems is to identify a domain (broad topic) associated with the user query; so that a more comprehensive search can be carried out by the domain specific search engine. In this paper we use a rule based approach, to identify the domain, called Short Query Intent Identification System (SQIIS). We construct two different rule-bases using different strategies to suit query intent identification. We evaluate the two rule-bases experimentally.
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