Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 1
87-90

Web page search ranking algorithm using automatic classification

Liu Mingyu
Liu Xueliang
Hu Jun
School of Computer & Information, Hefei University of Technology, Hefei 230009, China
DOI: 10.19734/j.issn.1001-3695.2017.07.0700

Abstract

In the traditional Web page ranking algorithm Okapi BM25, there exists a problem that the retrieval results are independent to the domain keywords, and the improved algorithm needs to build the domain vector manually. To address this issue, this paper proposed a Web page ranking algorithm based on BM25 and softmax regression classification model. The method first encoded the Web page text with the bag-of-words model. And then trained the softmax regression classification model by a small amount of Web data to predict the category scores of the test Web data. Finally it combined the category scores and the BM25 information retrieval scores to get the final ranking of Web page results. Experimental results show that this method can meet the user’s information need better without even manually creating the domain vector.

Foundation Support

国家自然科学基金资助项目(61472116,61502139)
安徽省自然科学基金资助项目(1608085MF128)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.07.0700
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Algorithm Research & Explore
Pages: 87-90
Serial Number: 1001-3695(2019)01-019-0087-04

Publish History

[2019-01-05] Printed Article

Cite This Article

刘铭瑀, 刘学亮, 胡骏. 一种自动分类的网页搜索排序算法 [J]. 计算机应用研究, 2019, 36 (1): 87-90. (Liu Mingyu, Liu Xueliang, Hu Jun. Web page search ranking algorithm using automatic classification [J]. Application Research of Computers, 2019, 36 (1): 87-90. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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