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Personalized Search on the Social Web

1st May 2013 to 30th September 2016

Personalized search aims at adapting search results based on the tastes, interests, and needs of the user. In the proposed research, I want to explore the idea of integrating Web search and social networks, both for an improved personalized Web search and for personalized search on the Social Web. In particular, towards building user profiles for personalization, I want to explore formalisms and algorithms for mining, representing, and managing user preferences, and for using them in personalized search on the Social Web. I also want to consider the modeling of relevant background knowledge via ontologies, which then allows for personalized semantic search on the Social Web. Technically, I want to combine ideas from preference handling in AI and databases, semantic search on the Web, and search in social networks. As a closely related topic, I also want to investigate the use of the results targeted above in personalized computational advertising on the Social Web.

 

The source code or dataset can be found on:  https://github.com/personalised-semantic-search

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