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User Action Interpretation for Online Content Optimization
2013
IEEE Transactions on Knowledge and Data Engineering
Web portal services have become an important medium to deliver digital content and service, such as news, advertisements, and so on, to Web users in a timely fashion. To attract more users to various content modules on the Web portal, it is necessary to design a recommender system that can effectively achieve online content optimization by automatically estimating content items' attractiveness and relevance to users' interests. User interaction plays a vital role in building effective content
doi:10.1109/tkde.2012.130
fatcat:fqicym4ndbeiphkpvln4fannre