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      Mining the Social Semantic Web for making cross-domain recommendations

      Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013) (FDIA)

      Future Directions in Information Access (FDIA 2013)

      3 September 2013

      Cross-domain information, recommender systems, semantic networks, social tagging, contextualization

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          Abstract

          Cross-domain recommender systems filter and suggest items in a target domain by exploiting user preferences and/or domain knowledge available in a (likely related) source domain. In our research we are developing a framework for cross-domain recommendation capable of mining heterogeneous sources of information available in the so-called Social Semantic Web, such as semantically annotated data, user generated contents, and contextual signals.

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          Author and article information

          Contributors
          Conference
          September 2013
          September 2013
          : 49-50
          Affiliations
          Universidad Autónoma de Madrid

          28049 Madrid, Spain
          Article
          10.14236/ewic/FDIA2013.11
          © Ignacio Fernández-Tobías. Published by BCS Learning and Development Ltd. Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013), Granada, Spain

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Fifth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2013)
          FDIA
          5
          Granada, Spain
          3 September 2013
          Electronic Workshops in Computing (eWiC)
          Future Directions in Information Access (FDIA 2013)
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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