Using Signal processing to Investigate User Web Search Behaviour on Topics of Interest with Multiple Periodicities

Nagar, Jivashi and Suleman, Hussein (2019) Using Signal processing to Investigate User Web Search Behaviour on Topics of Interest with Multiple Periodicities, Proceedings of Asia-Pacific Library and Information Education and Practice 2019 (A-LIEP), 4-7 November 2019, Kuala Lumpur, Malaysia.

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Abstract

A Web user searches for multiple topics of interest on the Web on a regular basis. The topics may be searched periodically at a particular time or at different times, creating temporal patterns with different periodicities in the search history. To improve a user’s Web search experience, the multiple periodicities of the topics of interest of a user can be exploited. This study proposes to find multiple periodicities of a user’s topic of interest through signal processing. It is found that Fast Fourier Transform can be used to find multiple periodicities of a topic as well as to predict the temporal pattern of the topics with accuracy and error depending on the training data size.

Item Type: Conference paper
Subjects: Information systems > Information retrieval
Date Deposited: 20 Sep 2019
Last Modified: 10 Oct 2019 15:31
URI: http://pubs.cs.uct.ac.za/id/eprint/1332

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