Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Uncertainty querying of large data can be solved by providing top-k ansrs according to a user fuzzy ranking/scoring function. Usually different users have different fuzzy scoring function --- a user preference model. Main goal of this paper is to assign a user a preference model automatically. To achieve this  decompose user's fuzzy ranking function to ordering of particular attributes and to a combination function. To solve the problem of automatic assignment of user model  design two algorithms, one for learning user preference on particular attribute and second for learning the combination function. Methods re integrated into a Fagin-like top-k querying system with some new heuristics and tested.
['Alan Eckhardt', 'Tomáš Horváth', 'Peter Vojtáš']
I am writing a research paper on a idea Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying
[{"from": "human", "value": "I am writing a research paper on a idea Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Uncertainty querying of large data can be solved by providing top-k ansrs according to a user fuzzy ranking/scoring function. Usually different users have different fuzzy scoring function --- a user preference model. Main goal of this paper is to assign a user a preference model automatically. To achieve this  decompose user's fuzzy ranking function to ordering of particular attributes and to a combination function. To solve the problem of automatic assignment of user model  design two algorithms, one for learning user preference on particular attribute and second for learning the combination function. Methods re integrated into a Fagin-like top-k querying system with some new heuristics and tested."}]