Abstract
The aim of a Personalised Ranking Model (PRM) is to filter the top-k set of documents from a number of relevant documents matching the search query. Dwell times of previously clicked results have been shown to be valuable for estimating documents’ relevance. The indexing structure of the dwell time is an important parameter. We propose a dwell time-based scoring scheme called Dwell-tf-idf to index text and non-text data, based on which search results are ranked. The effectiveness of incorporating into the ranking process the proposed Dwell-tf-idf scheme is validated by a controlled experiment which shows a significant improvement in the search results within the top-k rank.
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Notes
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The terms ‘F-Measure’ and ‘F-Score’ are used interchangeably for convenience throughout this paper as in some literature reviews.
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The authors extend their sincere thanks to the Dean, the Head of ETC and staff at the NCT in Oman for their cooperation and support during the data collection.
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Al-Sharji, S., Beer, M., Uruchurtu, E. (2015). A Dwell Time-Based Technique for Personalised Ranking Model. In: Chen, Q., Hameurlain, A., Toumani, F., Wagner, R., Decker, H. (eds) Database and Expert Systems Applications. Globe DEXA 2015 2015. Lecture Notes in Computer Science(), vol 9262. Springer, Cham. https://doi.org/10.1007/978-3-319-22852-5_18
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