Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b has become a large-scale real-time information system forcing us to revise both how to effectively assess relevance of information for a user and how to efficiently implement information retrieval and dissemination functionality. To increase information relevance, Real-time b applications such as Twitter and Facebook, extend content and social-graph relevance scores with " real-time " user generated events (e.g. re-tets, replies, likes). To accommodate high arrival rates of information items and user events  explore a pub-lish/subscribe paradigm in which  index queries and update on the fly their results each time a new item and relevant events arrive. In this setting,  need to process continuous top-k text queries combining both static and dynamic scores. To the best of our knowledge, this is the first work addressing how non-predictable, dynamic scores can be handled in a continuous top-k query setting.
['Nelly Vouzoukidou', 'Bernd Amann', 'Vassilis Christophides']
I am writing a research paper on a idea Continuous Top-k Queries over Real-Time Web Streams
[{"from": "human", "value": "I am writing a research paper on a idea Continuous Top-k Queries over Real-Time Web Streams"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b has become a large-scale real-time information system forcing us to revise both how to effectively assess relevance of information for a user and how to efficiently implement information retrieval and dissemination functionality. To increase information relevance, Real-time b applications such as Twitter and Facebook, extend content and social-graph relevance scores with \" real-time \" user generated events (e.g. re-tets, replies, likes). To accommodate high arrival rates of information items and user events  explore a pub-lish/subscribe paradigm in which  index queries and update on the fly their results each time a new item and relevant events arrive. In this setting,  need to process continuous top-k text queries combining both static and dynamic scores. To the best of our knowledge, this is the first work addressing how non-predictable, dynamic scores can be handled in a continuous top-k query setting."}]