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An Ensemble Method for Latent Interest Reasoning of Mobile Users
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 Title & Authors
An Ensemble Method for Latent Interest Reasoning of Mobile Users
Choi, Yerim; Park, Jonghun; Shin, Dong Wan;
These days, much information is provided as a list of summaries through mobile services. In this regard, users consume information in which they are interested by observing the list and not by expressing their interest explicitly or implicitly through rating content or clicking links. Therefore, to appropriately model a user's interest, it is necessary to detect latent interest content. In this study, we propose a method for reasoning latent interest of a user by analyzing mobile content consumption logs of the user. Specifically, since erroneous reasoning will drastically degrade service quality, a unanimity ensemble method is adopted to maximize precision. In this method, an item is determined as the subject of latent interest only when multiple classifiers considering various aspects of the log unanimously agree. Accurate reasoning of latent interest will contribute to enhancing the quality of personalized services such as interest-based recommendation systems.
mobile users;latent interest;ensemble method;statistical learning method;
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