Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   present our iFanzy demonstrator, which aims at offering users television content in a personalized and context-sensitive way. With iFanzy  integrate different volatile content sources like video-on-demand, broadcast and b information on-the-fly to disperse it on different clients on different platforms like set-top boxes and b interfaces. Via semantic b techniques, TV content and background data from various heterogeneous sources is integrated into a transparent RDF/OWL knowledge graph, which allows the user to navigate and browse the vast content sets nowadays available. Via illustrative examples  explain how the main integrated data set is built and how  exploit it to provide iFanzypsilas main functionality, like semantic search of the available content and execution of context sensitive recommendations.
['Pae Pieter Bellekens', 'van der Kam Kees Sluijs', 'Gjpm Geert-Jan Houben', 'Lora Aroyo']
I am writing a research paper on a idea On-the-fly Data Integration for Personalized Television Recommender Systems
[{"from": "human", "value": "I am writing a research paper on a idea On-the-fly Data Integration for Personalized Television Recommender Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   present our iFanzy demonstrator, which aims at offering users television content in a personalized and context-sensitive way. With iFanzy  integrate different volatile content sources like video-on-demand, broadcast and b information on-the-fly to disperse it on different clients on different platforms like set-top boxes and b interfaces. Via semantic b techniques, TV content and background data from various heterogeneous sources is integrated into a transparent RDF/OWL knowledge graph, which allows the user to navigate and browse the vast content sets nowadays available. Via illustrative examples  explain how the main integrated data set is built and how  exploit it to provide iFanzypsilas main functionality, like semantic search of the available content and execution of context sensitive recommendations."}]