{"title":"Require- documents and provide-documents matching algorithm based on topic model","authors":"Xiang Zou, Yue Wu, Zhongtian Liu","doi":"10.1109/ICALIP.2016.7846639","DOIUrl":null,"url":null,"abstract":"The relationship between internet and human life is becoming much more close than ever before. At the same time, Modern enterprise cooperate with each other in the form of technical collaboration is becoming a common mode of production and will be a crucial mode in the future. With the rapid development and popularization of internet, the scope of collaboration is more and more wide, such as across the city, or even across the whole world are turning into reality. This paper gathered a set number of require-documents and provide-documents through a project. Due to the special content structure of require-documents and provide-documents, a require-document may be matched by some provide-documents, how to find a matching provide-documents for a require-document quickly and accurately and how to match a require-document for a provide-document are becoming the biggest problem. This paper proposes a require-documents and provide-documents matching algorithm based on topic model, and the algorithm relies on the text similarity. Finally, in this paper, the effect of the algorithm is verified.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALIP.2016.7846639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The relationship between internet and human life is becoming much more close than ever before. At the same time, Modern enterprise cooperate with each other in the form of technical collaboration is becoming a common mode of production and will be a crucial mode in the future. With the rapid development and popularization of internet, the scope of collaboration is more and more wide, such as across the city, or even across the whole world are turning into reality. This paper gathered a set number of require-documents and provide-documents through a project. Due to the special content structure of require-documents and provide-documents, a require-document may be matched by some provide-documents, how to find a matching provide-documents for a require-document quickly and accurately and how to match a require-document for a provide-document are becoming the biggest problem. This paper proposes a require-documents and provide-documents matching algorithm based on topic model, and the algorithm relies on the text similarity. Finally, in this paper, the effect of the algorithm is verified.