Personalized Search on the Social Web
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
Selected Publications
-
Query Answering in Ontologies Under Preference Rankings
İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Rafael Peñaloza and Oana Tifrea−Marciuska
In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. Pages 943–949. IJCAI/AAAI Press. August, 2017.
Details about Query Answering in Ontologies Under Preference Rankings | BibTeX data for Query Answering in Ontologies Under Preference Rankings | Download (pdf) of Query Answering in Ontologies Under Preference Rankings
-
Preferential Query Answering over the Semantic Web with Possibilistic Networks
Stefan Borgwardt‚ Bettina Fazzinga‚ Thomas Lukasiewicz‚ Akanksha Shrivastava and Oana Tifrea−Marciuska
In Subbarao Kambhampati, editor, Proceedings of the 25th International Joint Conference on Artificial Intelligence‚ IJCAI 2016‚ New York‚ NY‚ USA‚ July 9−15‚ 2016. Pages 994−1000. IJCAI/AAAI Press. July, 2016.
Details about Preferential Query Answering over the Semantic Web with Possibilistic Networks | BibTeX data for Preferential Query Answering over the Semantic Web with Possibilistic Networks | Link to Preferential Query Answering over the Semantic Web with Possibilistic Networks
-
Combining Existential Rules with the Power of CP−Theories
Tommaso Di Noia‚ Thomas Lukasiewicz‚ Maria Vanina Martinez‚ Gerardo I. Simari and Oana Tifrea−Marciuska
In Qiang Yang, editor, Proceedings of the 24th International Joint Conference on Artificial Intelligence‚ IJCAI 2015‚ Buenos Aires‚ Argentina‚ July 25−31‚ 2015. Pages 2918−2925. AAAI Press / International Joint Conferences on Artificial Intelligence. July, 2015.
Details about Combining Existential Rules with the Power of CP−Theories | BibTeX data for Combining Existential Rules with the Power of CP−Theories | Link to Combining Existential Rules with the Power of CP−Theories
Principal Investigator
People
Share this:
