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An angle-based interest model for text recommendation
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DOI：10.1016/j.future.2016.04.011.png)
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Abstract
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Building an interest model is the key to realize personalized text recommendation. Previous interest models neglect the fact that a user may have multiple angles of interest. Different angles of interest provide different requests and criteria for text recommendation. This paper proposes an interest model that consists of two kinds of angles: persistence and pattern, which can be combined to form complex angles. The model uses a new method to represent the long-term interest and the short-term interest, and distinguishes the interest in object and the interest in the link structure of objects. Experiments with news-scale text data show that the interest in object and the interest in link structure have real requirements, and it is effective to recommend texts according to the angles. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Text recommendation
Interest model
Multi-angle interest
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