Enhancing Web Search by Mining Task Trails in Web Logs
Josseena Jose1, Hafsath C.A2
1Josseena Jose, PG Scholar, Department of Computer Science and Engineering, Ilahia College of Engineering and Technology, MVPA, (Kerala). India.
2Hafsath C.A, Asst. Professor, Department of Computer Science and Engineering, Ilahia College of Engineering and Technology, MVPA, (Kerala). India.
Manuscript received on 16 November 2015 | Revised Manuscript received on 28 November 2015 | Manuscript Published on 30 November 2015 | PP: 34-37 | Volume-5 Issue-6, November 2015 | Retrieval Number: F2228115615/2015©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Web search logs record the users search queries and related actions in search engines. By mining these information it is possible to understand user search behaviors. A task can be defined as atomic user information need, whereas a task trail represents all user activities within that particular task, such as query reformulations, URL clicks. In most of the previous works, web search logs have been studied mainly at session, query or task level where users may submit several queries within one task and handle several tasks within one session. Instead of analyzing task within a session, cross session task can be analysed to determine the user search behaviour much more efficiently.
Keywords: Search log mining, task trail, cross-session search task
Scope of the Article: Web and Text Mining