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    • 1. 发明专利
    • A PROCESS FOR QUERY REFORMULATION SYSTEM USING RANK AGGREGATION AND GENETIC APPROACH
    • AU2021102702A4
    • 2021-11-18
    • AU2021102702
    • 2021-05-20
    • KUMAR RAKESH MRKUMAR SAURABH MRSINGH DEEPAK DRSINGH JAGENDRA DRYADAV ARUNA MS
    • SINGH JAGENDRA
    • G06F16/332G06F16/33
    • The present disclosure relates to a process for query reformulation system using rank aggregation and genetic approach. In the present disclosure the power of combining multiple query expansion terms selection methods is explored to improve the performance of information retrieval system by using the automatic expansion of user query called automatic query expansion (AQE). The ranks combination of four query expansion terms selection methods, which are Chi-Square Statistic (CHI), Co-occurrence Information (Co-occurrence), Binary Independence Model (BIM) and Robertson Selection Value (RSV) on two real datasets with or without semantic filtering and semantic genetic filtering approaches. The results with real data sets demonstrates that combining multiple QE terms selection methods could improve the performance of AQE in terms of Mean Average Precision, Recall, and F-Measure. performing pseudo-relevancefeedback based automatic query expansion us ing CHI, Co- /,Av102 occurrence, B IM a nd RSV terms selection methods bI combining ranked list of query expansion terms suggested by different expansion terms selection 104 methods using rank agg regation methods filtering out semantically irrelevantand redundant expansion terms with context to user query 106 obtained after com boning multiple termsselecon methods throughsemantifiltering approach Generating anoptimal combination of query terms by geneticapproach and obtaining candidate 1A i expansionterms by applying rankscombination andsemanticfiltering approach. Figure1 Figure 2