Implicit Feedback through User-system Interactions for Defining User Models in Personalized Search
نویسندگان
چکیده
منابع مشابه
User models from implicit feedback for proactive information retrieval
Our research consortium develops user modeling methods for proactive applications. In this project we use machine learning methods for predicting users’ preferences from implicit relevance feedback. Our prototype application is information retrieval, where the feedback signal is measured from eye movements or user’s behavior. Relevance of a read text is extracted from the feedback signal with m...
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This paper is focused on the information retrieval area. Implicit user feedback is today very important part of this research area. Increase of the amount of information also increases the time to find relevant information. Currently most Web search engines produce the same results independently of who the user is. The article includes system design, which implements an implicit users feedback ...
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Our research is focused on interpreting user preference from his/her implicit behavior. There are many types of relevant behavior e.g. time on page, scrolling, clickstream etc. which we will further denote as Relevant Behavior Types (RBT). RBT s varies both in quality and incidence and thus we might need different approaches to process them. In this early work we focus on how to derive user pre...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2014
ISSN: 1877-0509
DOI: 10.1016/j.procs.2014.11.003