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View all- Vildjiounaite EGimel’farb GKyllönen VPeltola J(2015)Lightweight Adaptation of Classifiers to Users and Contexts: Trends of the Emerging DomainThe Scientific World Journal10.1155/2015/4348262015:1Online publication date: 10-Sep-2015
We discuss the video recommendation system in use at YouTube, the world's most popular online video community. The system recommends personalized sets of videos to users based on their activity on the site. We discuss some of the unique challenges that ...
In this paper, we discuss the set-up and results from an interdisciplinary study aimed at evaluating a recommendation application for online video content, called PersonalTV. By involving (possible) users (i.e. a panel of test users), we tried to gather ...
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 ...
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