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Information recommendation method based on attention mechanism

A recommendation method and attention technology, applied in other database retrieval, network data retrieval, instruments, etc., can solve the problems of unfriendly user interaction, heavy manual classification workload, etc., to improve exposure, improve browsing experience, and improve real-time sexual effect

Pending Publication Date: 2021-11-02
CHINA PETROLEUM & CHEM CORP +1
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AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide an information recommendation method based on the attention mechanism for oil field information news that solves the problems of heavy manual classification of information recommendation and unfriendly user interaction

Method used

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  • Information recommendation method based on attention mechanism
  • Information recommendation method based on attention mechanism
  • Information recommendation method based on attention mechanism

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Embodiment Construction

[0027] In order to make the above and other objects, features and advantages of the present invention more comprehensible, the preferred embodiments are listed below and shown in the accompanying drawings in detail as follows.

[0028] Such as figure 1 as shown, figure 1 It is a flow chart of the attention mechanism-based information recommendation method of the present invention.

[0029] Step 101, obtaining information from the oilfield information network. Run the crawler program for the oilfield information network; crawl real-time information in the oilfield information network; save the crawled information to the database.

[0030] Step 102, preprocessing the crawled information data. Segment all information, filter out useless words, and create a dictionary; use the dictionary to hot-encode each piece of information to obtain the word vector representation of each piece of information.

[0031] Step 103, extract and vectorize news topics from the preprocessed news i...

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Abstract

The invention provides an information recommendation method based on an attention mechanism. The information recommendation method based on the attention mechanism comprises the steps of 1, acquiring information in an oil field information network; 2, preprocessing the crawled information message data; 3, extracting information topics from the preprocessed information and vectorizing the information topics; and 4, establishing a user interest preference model, and recommending matched information to the user in combination with the information database. According to the information recommendation method based on the attention mechanism, the defects that traditional information recommendation topics are inflexible in classification and poor in user experience are overcome, real oil field internal information data are used, the method is real and objective, the accuracy, diversity and interpretability of recommendation are improved, and the personalized requirements of oil field users for information are fully met.

Description

technical field [0001] The invention relates to the technical field of oilfield information processing and development, in particular to an information recommendation method based on an attention mechanism. Background technique [0002] In recent years, with the accelerated pace of informatization construction in Shengli Oilfield, more and more oilfield-related information appears on the Internet. For oilfield-related workers, it is difficult to find the content that suits them from the massive amount of information. , and most of the information content will have long tail characteristics, that is, few users can browse it. Research on how to improve the exposure of oilfield information to oilfield workers can allow staff to see important information in a timely manner and assist staff in making decisions, which is of great significance for improving oilfield work efficiency and resource utilization. [0003] Recommendation technology is the key technology to solve the prob...

Claims

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Application Information

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IPC IPC(8): G06F16/951G06F16/9535G06F16/958G06F40/289G06F40/242G06F40/216G06F16/35
CPCG06F16/951G06F16/9535G06F16/958G06F40/289G06F40/242G06F40/216G06F16/355
Inventor 史纪强阮德茂郑云拓魏霞陈鹏王文蔚金伏东
Owner CHINA PETROLEUM & CHEM CORP
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