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Tessel Bogaard, Laura Hollink, Jan Wielemaker, Lynda Hardman, Jacco van Ossenbruggen · 2019

Modeling user interests helps to improve system support or refine recommendations in Interactive Information Retrieval. The aim of this study is to identify user interests in different parts of an online collection and investigate the related search behavior. To do this, we propose to use the metadata of selected facets and clicked documents as features for clustering sessions identified in user logs. We evaluate the session clusters by measuring their stability over a six-month period.

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