Cluster-based retrieval is based on the hypothesis that similar documents will match the same information needs [20]. In document-based retrieval, an information retrieval (IR) system matches the query against documents in the collection and returns a ranked list of documents to the user.
The method is based on ranking clusters of similar passages using a learning-to-rank approach and transforming the cluster ranking to passage ranking. Empirical ...
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Dec 31, 2018 · The method is based on ranking clusters of similar passages using a learning-to-rank approach and transforming the cluster ranking to passage ...
A novel cluster-based focused retrieval method based on ranking clusters of similar passages using a learning-to-rank approach and transforming the cluster ...
Nov 7, 2019 · The focused retrieval task is to rank documents' passages by their presumed relevance to a query. Inspired by work on cluster-based document ...
Apr 13, 2024 · This paper revisits cluster-based retrieval that partitions the inverted index into multiple groups and skips the index partially at cluster and document ...
The method is based on ranking clusters of similar passages using a learning-to-rank approach and transforming the cluster ranking to passage ranking. Empirical ...
Abstract: The focused retrieval task is to rank documents' passages by their presumed relevance to a query. Inspired by work on cluster-based document retrieval ...
The focused retrieval task is to rank documents' passages by their presumed relevance to a query. Inspired by work on cluster-based document retrieval, ...
The method is based on ranking clusters of similar passages using a learning-to-rank approach and transforming the cluster ranking to passage ranking. Empirical ...