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- W2379221856 abstract "A novel query expansion algorithm of local feedback is proposed based on item-all-weighted association rule mining,which combines the association rules mining technique with the query expansion.At the same time,a new computing method for weights of expansion terms is given.It makes the weighted value of an expansion term more reasonable.Our algorithm can automatically mine those all-weighted association rules related to original query in the top-ranked retrieved documents,to construct an association rules-based database,and extract expansion terms related to original query from the database for query expansion.Experimental results show that our method is better than traditional ones in average precision." @default.
- W2379221856 created "2016-06-24" @default.
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- W2379221856 date "2008-01-01" @default.
- W2379221856 modified "2023-09-25" @default.
- W2379221856 title "Query expansion of local feedback Based on item-all-weighted association rules." @default.
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