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Leveraging integrated information to extract query subtopics for search result diversification
2013
Information retrieval (Boston)
Search result diversification aims to diversify search results to cover different query subtopics, i.e., pieces of relevant information. The state of the art diversification methods often explicitly model the diversity based on query subtopics, and their performance is closely related to the quality of subtopics. Most existing studies extracted query subtopics only from the unstructured data such as document collections. However, there exists a huge amount of information from structured data,
doi:10.1007/s10791-013-9228-1
fatcat:llxzle2d6nbkra53iuvxoy77mi