Product information retrieval method for automobile vertical websites

A product information and website technology, applied in the field of information retrieval, can solve problems such as single returned results, inability to personalize sorting for specific users and specific needs, adapt to limited emerging vocabulary, etc., to achieve the effect of meeting cognitive needs

Inactive Publication Date: 2018-04-20
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0019] The present invention provides a product information retrieval method for automobile vertical websites. The present invention solves the problems of single return results, limited adaptability to emerging vocabulary, and inability to perform personalized sorting on specific users and specific needs in traditional retrieval methods. See below for details describe:

Method used

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  • Product information retrieval method for automobile vertical websites
  • Product information retrieval method for automobile vertical websites
  • Product information retrieval method for automobile vertical websites

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Embodiment 1

[0052] Embodiments of the present invention provide a product information retrieval method for automobile vertical websites, see figure 1 , the method includes the following steps:

[0053] 101: Use crawler technology to capture data from multiple vertical automobile websites, and store them in the database in a tree structure of "website-model-word-of-mouth";

[0054] 102: Regularize and preprocess the data format in the database, so that the data format and naming methods from different websites are unified;

[0055] 103: Consider the source website of the data, word-of-mouth level, word-of-mouth content, and user level, construct a search result evaluation system, and assign index weights to the search result evaluation system;

[0056] 104: Construct word-of-mouth feature vectors based on the retrieval result evaluation system, combine sentiment analysis scores, and integrate word-of-mouth websites, word-of-mouth grades, and user grades of published information to obtain ...

Embodiment 2

[0059] The scheme in embodiment 1 is further introduced below in conjunction with specific calculation formulas and examples, see the following description for details:

[0060] 201: Obtain relevant data such as user reputation of multiple automobile vertical websites through data capture;

[0061] Wherein, the step 201 is specifically:

[0062] 1) According to the web page HTTP protocol, use crawler technology to grab the user word-of-mouth data of mainstream automobile vertical websites, and formulate a good regular expression (this expression is well known to those skilled in the art, and the embodiments of the present invention will not repeat it here) ) is used to traverse and collect all models of the website, and further traverse and crawl word-of-mouth information published by all users for each model.

[0063] Among them, the data captured above is specifically:

[0064] ①Vertical website data, including: the number of backlinks to the website, the number of posting...

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Abstract

The invention discloses a product information retrieval method for automobile vertical websites. The method includes the steps that multiple pieces of automobile vertical website data are captured with the crawler technology and are stored in database according to a website-automobile type-public praise tree structure; data formats in the database are normalized and preprocessed to make data formats and naming ways from different websites unified; by considering the websites from which the data comes, public praise grades, public praise content and user grades, a retrieval result evaluation system is constructed, and an index weight is allocated to the retrieval result evaluation system; a public praise feature vector is constructed according to the retrieval result evaluation system, andin combination with a sentiment analysis score, an automobile product information retrieval result is obtained by integrating the websites to which public praise belongs, the public praise grades andthe user grades of issued information. The method solves the problems that in a traditional retrieval method, the returned result is monotonous, the method adapts to a limited number of new words, andpersonalized ranking of specific users or specific needs can not be achieved.

Description

technical field [0001] The invention relates to the field of information retrieval, in particular to a product information retrieval method for automobile vertical websites. Background technique [0002] On August 4, 2017, the 40th "Statistical Report on China's Internet Development Status" released by China Internet Network Information Center (CNNIC) showed that [1] , As of June 2017, the number of Internet users in China reached 751 million, accounting for one-fifth of the total number of Internet users in the world. The Internet penetration rate is 54.3%, 4.6 percentage points higher than the global average. E-commerce technology represented by the Internet is accelerating consumption upgrading and economic and social transformation in my country, and has also profoundly promoted the transformation of people's consumption habits. [0003] Product users’ comments on products through merchant’s websites, shopping portals, related vertical websites and communication commun...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/951
Inventor 邱泽成郭伟梁若愚安蔚瑾
Owner TIANJIN UNIV
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