Analysing web search logs to determine session boundaries for user-oriented learning

Goker, A.S. & He, D. (2000). Analysing web search logs to determine session boundaries for user-oriented learning. Lecture Notes in Computer Science, 1892, pp. 319-322. doi: 10.1007/3-540-44595-1_38

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Abstract

Incremental learning approaches based on user search activities provide a means of building adaptive information retrieval systems. To develop more effective user-oriented learning techniques for the Web, we need to be able to identify a meaningful session unit from which we can learn. Without this, we run a high risk of grouping together activities that are unrelated or perhaps not from the same user. We are interested in detecting boundaries of sequences between related activities (sessions) that would group the activities for a learning purpose. Session boundaries, in Reuters transaction logs, were detected automatically. The generated boundaries were compared with human judgements. The comparison confirmed that a meaningful session threshold for establishing these session boundaries was confined to a 11-15 minute range.

Item Type: Article
Additional Information: Presented at Adaptive Hypermedia and Adaptive Web-Based Systems International Conference (AH2000), Trento, Italy, 2000. The original publication is available at www.springerlink.com
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: School of Informatics > Department of Information Science
URI: http://openaccess.city.ac.uk/id/eprint/606

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