Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Set similarity joins compute all pairs of similar sets from two collections of sets. Set similarity joins are typically implemented in a lter-verify framework: a lter generates candidate pairs, possibly including false positives, which must be veried to produce the nal join result. Good lters produce a small number of false positives, while they reduce the time they spend on hopeless candidates. The best known algorithms generate candidates using the so-called prex lter in conjunction with length- and position-based lters.   show that the potential of length and position have only partially been leveraged.  propose a new lter, the position-enhanced length lter , which exploits the matching position to incrementally tighten the length lter; our lter identies hopeless candidates and avoids processing them. The lter is very ecient,
['Willi Mann', 'Nikolaus Augsten']
I am writing a research paper on a idea PEL: Position-Enhanced Length Filter for Set Similarity Joins
[{"from": "human", "value": "I am writing a research paper on a idea PEL: Position-Enhanced Length Filter for Set Similarity Joins"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Set similarity joins compute all pairs of similar sets from two collections of sets. Set similarity joins are typically implemented in a lter-verify framework: a lter generates candidate pairs, possibly including false positives, which must be veried to produce the nal join result. Good lters produce a small number of false positives, while they reduce the time they spend on hopeless candidates. The best known algorithms generate candidates using the so-called prex lter in conjunction with length- and position-based lters.   show that the potential of length and position have only partially been leveraged.  propose a new lter, the position-enhanced length lter , which exploits the matching position to incrementally tighten the length lter; our lter identies hopeless candidates and avoids processing them. The lter is very ecient,"}]