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PIIR: Proactive Personalized Information Integration and Retrieval |
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DOWNLOAD/DEMO SOFTWARE |
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Contact: Room 565, Engineering Building 2 University of California, Santa Cruz 1156 High Street Santa Cruz, CA, USA 95064 E-mail: yiz @ soe . Ucsc . edu |
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An open source recommender system will be released later. We are developing a demo system: a Personalized Multi-platform News Recommender System (video demo) You can download data set collected for the research here: Dataset 1: Implicit and explicit feedback from news users: this data set was originally collected by the PI in Carnegie Mellon University. This data set was not shared before, and it is related to this project and might be interesting for people who are doing related research. Thus we are making it publicly available through the project web site recently.
Dataset 2: TBA
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To contact us: |
