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Bidding and purchasing information recommendation system and recommendation method based on knowledge graph

A knowledge map and procurement information technology, applied in the field of bidding and procurement information recommendation, can solve the problems of mediocre accuracy and difficulty in discovering similar relationships

Inactive Publication Date: 2019-08-20
安徽省优质采科技发展有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The approximate relationship between these objective factors and materials is difficult to discover, and the traditional recommendation system is not effective in terms of accuracy.

Method used

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  • Bidding and purchasing information recommendation system and recommendation method based on knowledge graph
  • Bidding and purchasing information recommendation system and recommendation method based on knowledge graph
  • Bidding and purchasing information recommendation system and recommendation method based on knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0075] Example 1: as figure 1 As shown, a bidding and procurement information recommendation system based on knowledge graph, including data acquisition module, data cleaning module, knowledge graph establishment module and reasoning recommendation mechanism module,

[0076] The data acquisition module uses manual collection and defines the tree-shaped multi-level classification of the bidding industry field, and uses the web crawler framework to collect effective data in Internet documents.

[0077] And extract the encyclopedia entry name, attribute-attribute value pair, entry overview and entry content in the effective data and store them in the local database, and obtain the announcement data of historical release and collection from the local database;

[0078] The data cleaning module collects data from the Internet for data cleaning, cleans and regularizes the data, and writes the cleaned data into the graph database according to certain rules;

[0079] The knowledge ma...

Embodiment 2

[0083] Example 2: as attached figure 2 As shown, a knowledge map-based bidding and procurement information recommendation method includes the following steps:

[0084] S1: Manually collect and classify the knowledge of the bidding and procurement industry, establish a pattern diagram of the knowledge base, locate the collection direction of the data crawler, and crawl the data;

[0085] S2: The collected data is cleaned and organized, and written into the knowledge map according to certain rules;

[0086] S3: Establish an instruction map, use the knowledge map to reason about the announcement, and learn according to the knowledge contained in the announcement;

[0087] S4: Using the deployed and running knowledge graph, push the announcement to the user for intelligent recommendation.

[0088] The above-mentioned method for recommending bidding and procurement information based on knowledge graphs can be further optimized or / and improved according to actual needs:

[0089]...

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Abstract

The invention relates to the technical field of bidding and purchasing information recommendation, in particular to a bidding and purchasing information recommendation system and recommendation methodbased on a knowledge graph. The recommendation method comprises the steps: S1, carrying out the manual collection and classification of bidding and purchasing industry knowledge, building a mode graph of a knowledge base, positioning the collection direction of a data crawler, and crawling data; S2, cleaning and arranging the collected data; S3, establishing an indication graph, reasoning announcements by using the knowledge graph, and learning according to knowledge contained in the announcements; and S4, intelligently recommending and pushing announcements to the user by using the deployedand operated knowledge graph. For the bidding and purchasing information recommendation system and recommendation method, structured or unstructured data such as domain classification and encyclopediacontent are crawled by adopting distributed crawlers, and a knowledge graph library is opened to obtain data; bidding and purchasing information is intelligently recommended, and similar projects arefound out through project announcement titles and contents; similar users are obtained through the bidder portrait, then projects which the similar users are interested in are obtained, and projectswhich the bidder may be interested in are recommended to the bidder.

Description

technical field [0001] The present invention relates to the technical field of bidding and purchasing information recommendation, in particular to a bidding and purchasing information recommendation system and recommendation method based on a knowledge map. Background technique [0002] At present, tender announcements and tender documents are issued by tenderers or tender agencies, and bidders mainly know about tender projects through tender announcements and tender documents. Among them, the public bidding announcement can be said to be an important information medium in the field of bidding and bidding, which allows bidders to obtain general information about the project before they have a deep understanding of the project. However, the bidding announcement is generally in text or rich text format, and is generally unstructured data. In addition to key information, it contains a lot of non-critical redundant information that bidders do not pay special attention to. [00...

Claims

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Application Information

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IPC IPC(8): G06Q30/08G06F16/35G06F16/36G06F16/9535
CPCG06F16/35G06F16/367G06F16/9535G06Q30/08
Inventor 李宗桓封军豆庆仁李磊高俊马武
Owner 安徽省优质采科技发展有限责任公司
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