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Strategy in action: analyzing online search behavior bymining search strategies

Published: 24 February 2014 Publication History

Abstract

Analyzing people's Web search behavior has been a significant topic of interest in the Information Retrieval domain and search engine industry over the past decade. Research in this area has focused on improving search and retrieval capabilities leading to high demands and expectations of Web search users. Understanding and analyzing the Web search process when users are performing Web search tasks is a challenging problem due to many reasons such as subjectivity, dynamic nature, difficulty in measurement of success and difficulty in evaluation. I propose to analyze the users' Web search behavior in order to identify the strategies and tactics they use in fulfilling their task. In order to achieve this, I intend to use data mining and machine learning methods with an emphasis on time series analysis given that the user search process can be considered as a sequence of time related events.

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      cover image ACM Conferences
      WSDM '14: Proceedings of the 7th ACM international conference on Web search and data mining
      February 2014
      712 pages
      ISBN:9781450323512
      DOI:10.1145/2556195
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 24 February 2014

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      Author Tags

      1. data mining
      2. information retrieval
      3. time series analysis
      4. user behavior
      5. web search

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      WSDM '14 Paper Acceptance Rate 64 of 355 submissions, 18%;
      Overall Acceptance Rate 498 of 2,863 submissions, 17%

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