A Pattern Matching Algorithm in P2P Mobile QA System Answer Extracting Process

Mobile automatic question and answer (QA) system is more and more popular as a mobile value-added business. But the current mobile QA systems always have low query precision and recall ratio. In this paper, a new algorithm by pattern matching in p2p mobile QA system answer extracting process is desi...

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Bibliographic Details
Published inInternational Symposium on Information Processing, ISIP 2008 : International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008, Moscow, Russia, 23-25 May 2008 pp. 214 - 218
Main Authors Lei Wang, Shulin Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2008
Subjects
Algorithm design and analysis
Analytical models
answer extract
automatic question and answer
Business
Data mining
Educational institutions
Information processing
mobile
p2p
pattern match
Pattern matching
Quality management
Weather forecasting
Wireless application protocol
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ISBN9780769531519
0769531512
DOI10.1109/ISIP.2008.51

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Summary:Mobile automatic question and answer (QA) system is more and more popular as a mobile value-added business. But the current mobile QA systems always have low query precision and recall ratio. In this paper, a new algorithm by pattern matching in p2p mobile QA system answer extracting process is designed. It expresses the document as triad and extracts the question and answer sentence from the triad based documents. Simulation experimental analysis results show that under ideal conditions the systempsilas average responding time is less than 58 ms and precision is above 66%, and the recall ratio is upper than 52% when there are no more than 3000 simultaneous query nodes, and so the completeness and feasibility of the systempsilas design is proved.
ISBN:9780769531519
0769531512
DOI:10.1109/ISIP.2008.51