Session details: Personality-Based Personalization

With the advances in ubiquitous computing, there is an increasing focus on personalization of user information especially in web applications. Currently those personalized user profiles are scattered around the Internet, mostly stored for each ...

In this study, we show that individual users' preferences for the level of diversity, popularity, and serendipity in recommendation lists cannot be inferred from their ratings alone. We demonstrate that we can extract strong signals about individual ...

In recent years, research has been done on applying Recurrent Neural Networks (RNNs) as recommender systems. Results have been promising, especially in the session-based setting where RNNs have been shown to outperform state-of-the-art models. In many of ...