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- W2613696967 abstract "Re-ranking of image search results returned by proprietary search engine is becoming key focus of research in recent years. This re-ranking is very effective to present results more relevant to user's intention of search. In this paper, image search result re-ranking is proposed. This proposed re-ranking is proved effective in terms of better precision. Proposed method makes use of keyword clusters for query expansion. Visual features are used for detecting duplicate images in proposed method. Removing duplicates leads to further improve in precision and recall in retrieval result" @default.
- W2613696967 created "2017-05-19" @default.
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- W2613696967 date "2016-12-01" @default.
- W2613696967 modified "2023-09-23" @default.
- W2613696967 title "Image search result re-ranking using keyword clusters with duplicate avoidance" @default.
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- W2613696967 doi "https://doi.org/10.1109/iccic.2016.7919630" @default.
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