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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