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- W2380777779 abstract "To increase the efficiency of algorithms on online bookstore's similarity search,and reduce time and space cost to adapt to large information network,ProductP-Rank,an optimized similarity search method,was proposed based on the basic idea of P-Rank.The past algorithms for similarity search were analyzed and discussed and the accuracy and complexity problems in similarity search were pointed out.By building the customer-product network according to the co-purchasing relationship,for a given query,the 2-hop similarity matrix between query and each item was computed based on the pre-computed 1-hop similarity matrix.Experimental results show the space cost and pre-computation time cost of ProductP-Rank were evidently less than that of P-Rank with little effectiveness loss and low online-query time cost." @default.
- W2380777779 created "2016-06-24" @default.
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- W2380777779 date "2015-01-01" @default.
- W2380777779 modified "2023-09-28" @default.
- W2380777779 title "Online bookstore similarity search based on P-Rank" @default.
- W2380777779 hasPublicationYear "2015" @default.
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