SeRSy 2013 - 2nd International Workshop on Recommender Systems meet Big Data & Semantic Technologies

SeRSy 2013 - 2nd International Workshop on Recommender Systems meet Big Data & Semantic Technologies

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About the SeRSy 2013 - 2nd International Workshop on Recommender Systems meet Big Data & Semantic Technologies Group

Recent developments of the Semantic Web community offer novel strategies to represent data about users, items and their relations that might improve the current state of... more »
Recent developments of the Semantic Web community offer novel strategies to represent data about users, items and their relations that might improve the current state of the art of recommender systems, in order to move towards a new generation of recommender systems which fully understand the items they deal with.

More and more semantic data are published following the Linked Data principles, that enable to set up links between objects in different data sources, by connecting information in a single global data space: the Web of Data. Today, Web of Data includes different types of knowledge represented in a homogeneous form: sedimentary one (encyclopedic, cultural, linguistic, common-sense) and real-time one (news, data streams, ...). This data might be useful to interlink diverse information about users, items, and their relations and implement reasoning mechanisms that can support and improve the recommendation process.

The challenge is to investigate whether and how this large amount of wide-coverage and linked semantic knowledge can be automatically introduced into systems that perform tasks requiring human-level intelligence. Examples of such tasks include understanding a health problem in order to make a medical decision,
or simply deciding which laptop to buy. Recommender systems support users exactly in those complex tasks.

The primary goal of the workshop is to showcase cutting edge research on the intersection of Semantic Technologies and Recommender Systems, by taking the best of the two worlds. This combination may provide the Semantic Web community with important real-world scenarios where its potential can be effectively exploited into systems performing complex tasks. « less

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About this Group

  • Created: May 22, 2012
  • Type: Conference Group
  • Members: 39
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