Abstract
In Web Searching, users are needed to give queries in order to get back the response accordingly. Generally, users get bulk of irrelevant information associated with given input and it needs to be filtered with respect to user requirements about searched contents. Commonly, it is observed that most of queries are unable to describe its purpose, hence known as ambiguous queries. These ambiguous queries establish a noteworthy portion and results in challenging the users’ intents towards web search. Therefore, many locations based as well as time based features have been engrossed to deal with such problem in order to achieve information effectiveness in terms of accuracy and relevancy. This paper presents Identifying Ambiguous Queries Method (IAQM) based on Spatial Information, a new method to classify the ambiguous queries based on post search results. In order to originate spatial information from the search results, the ambiguous queries from two different datasets Ambient and Moresque are processed separately by developing a Java-based prototype. The proposed IAQM has achieved improved performance in terms of accuracy as 82% and 78% independently that leads to the motivation of development of small scale search engine in future.
Keyword(s)
Ambiguous, spatial information, disambiguation, Information Retrieval