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PageRank with Text Similarity and Video Near-Duplicate Constraints for News Story Re-ranking
[chapter]
2010
Lecture Notes in Computer Science
Pseudo-relevance feedback is a popular and widely accepted query reformulation strategy for document retrieval and re-ranking. However, problems arise in this task when assumed-to-be relevant documents are actually irrelevant which causes a drift in the focus of the reformulated query. This paper focuses on news story retrieval and re-ranking, and offers a new perspective through the exploration of the pair-wise constraints derived from video near-duplicates for constraint-driven reranking. We
doi:10.1007/978-3-642-11301-7_53
fatcat:zjdy5rrqpvfzleatin6jmxde5e