Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The computation of k-lor envelope is a classical problem and has been very ll studied for main memory non-indexed data. ,  study the problem from the database perspective and present the first algorithm which utilizes the presence of the index and achieves access optimality, i.e., it accesses a node of the index only if the correctness of the results cannot be guaranteed without accessing this node.  also demonstrate the applications of k-lor envelope in ranking systems. Let an object be called valuable if it is one of the top-k objects according to at least one linear scoring function. ,  ansr the following important questions that may be asked by different users: 1) I am not sure what scoring function I should use, therefore, return me the set of valuable objects so that I can select an object I like the most; 2) How can I modify the attributes (e.g., price) of my product such that it becomes a valuable object; 3) What are the preference functions for which a given object is among the top-k objects. These three questions are formalized and called k-snippet, k-depth contour and reverse top-k query, respectively.  propose a unified framework to solve these queries by utilizing k-lor envelope as a common foundation. Our main algorithm is access optimal for k-snippet and k-lor envelope computation.  also demonstrate its access optimality for the k-depth contour problem when k is smaller than the minimum number of objects in any leaf node of the index structure. Our algorithms outperform state-of-the-art algorithms by more than an order of magnitude in terms of both CPU and I/O cost.
['Muhammad Aamir Cheema', 'Zhitao Shen', 'Xuemin Lin', 'Wenjie Zhang']
I am writing a research paper on a idea A Unified Framework for Efficiently Processing Ranking Related Queries
[{"from": "human", "value": "I am writing a research paper on a idea A Unified Framework for Efficiently Processing Ranking Related Queries"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The computation of k-lor envelope is a classical problem and has been very ll studied for main memory non-indexed data. ,  study the problem from the database perspective and present the first algorithm which utilizes the presence of the index and achieves access optimality, i.e., it accesses a node of the index only if the correctness of the results cannot be guaranteed without accessing this node.  also demonstrate the applications of k-lor envelope in ranking systems. Let an object be called valuable if it is one of the top-k objects according to at least one linear scoring function. ,  ansr the following important questions that may be asked by different users: 1) I am not sure what scoring function I should use, therefore, return me the set of valuable objects so that I can select an object I like the most; 2) How can I modify the attributes (e.g., price) of my product such that it becomes a valuable object; 3) What are the preference functions for which a given object is among the top-k objects. These three questions are formalized and called k-snippet, k-depth contour and reverse top-k query, respectively.  propose a unified framework to solve these queries by utilizing k-lor envelope as a common foundation. Our main algorithm is access optimal for k-snippet and k-lor envelope computation.  also demonstrate its access optimality for the k-depth contour problem when k is smaller than the minimum number of objects in any leaf node of the index structure. Our algorithms outperform state-of-the-art algorithms by more than an order of magnitude in terms of both CPU and I/O cost."}]