Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A publicly available dataset for federated search reflecting a real b environment has long been bsent, making it difficult for researchers to test the validity of their federated search algorithms for the b setting.  present several experiments and analyses on resource selection on the b using a recently released test collection containing the results from more than a hundred real search engines, ranging from large general b search engines such as Google, Bing and Yahoo to small domain-specific engines. First,  experiment with estimating the size of uncooperative search engines on the b using query based sampling and propose a new method using the Clueb09 dataset.  find the size estimates to be highly effective in resource selection. Second,  show that an optimized federated search system based on smaller b search engines can be an alternative to a system using large b search engines. Third,  provide an empirical comparison of several popular resource selection methods and find that these methods are not readily suitable for resource selection on the b. Challenges include the sparse resource descriptions and extremely sked sizes of collections.
['Dong Nguyen', 'Thomas Demeester', 'Dolf Trieschnigg', 'Djoerd Hiemstra']
I am writing a research paper on a idea Resource Selection for Federated Search on the Web
[{"from": "human", "value": "I am writing a research paper on a idea Resource Selection for Federated Search on the Web"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A publicly available dataset for federated search reflecting a real b environment has long been bsent, making it difficult for researchers to test the validity of their federated search algorithms for the b setting.  present several experiments and analyses on resource selection on the b using a recently released test collection containing the results from more than a hundred real search engines, ranging from large general b search engines such as Google, Bing and Yahoo to small domain-specific engines. First,  experiment with estimating the size of uncooperative search engines on the b using query based sampling and propose a new method using the Clueb09 dataset.  find the size estimates to be highly effective in resource selection. Second,  show that an optimized federated search system based on smaller b search engines can be an alternative to a system using large b search engines. Third,  provide an empirical comparison of several popular resource selection methods and find that these methods are not readily suitable for resource selection on the b. Challenges include the sparse resource descriptions and extremely sked sizes of collections."}]