Network of Excellence Peer-to-Peer Tagged Media

Data Center

  • Overview

    Collaborative tagging has emerged as an import mechanism for users to annotate content on the world wide web. Given the popularity of tagging, tags have become both interesting to finding items on the internet and to learn about interests of users. Various data sets crawled from real world tagging services can help to bring forwrd the research in these areas

  • CAMRa

    Following the success of CAMRa2010, we are pleased to announce this year’s Challenge on Context-Aware Movie Recommendation.The majority of existing recommendation approaches does not take into account contextual information, such as time, location, or weather. This challenge aims to tackle the practical issue of context-aware movie recommendation. A new movie rating datasete from Moviepilot will be released for the challenge. The dataset contain a number of contextual features, typically not found in standard collaborative filtering datasets. The participating teams are requested to use the additional contextual features to generate context-aware recommendations. The challenge focuses on classification accuracy metrics. The participants are invited to submit papers focusing on the challenge to the workshop, which will be conducted in conjunction with RecSys2011.

  • Tagged Data Sets

    Collaborative tagging has emerged as an import mechanism for users to annotate content on the world wide web. Given the popularity of tagging, tags have become both interesting to finding items on the internet and to learn about interests of users. Various data sets crawled from real world tagging services can help to bring forwrd the research in these areas

  • TU Delft LibraryThing Data

    Librarything allows users to create an online catalog of the books they own or have read. A user can tag and rate all the books he adds to his personal library. We have collected a trace from the LibraryThing network containing 25.295 actively tagging users.