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Professional degree scoring method and system and article recommendation method and system, equipment and storage medium

A technology of professionalism and items, applied in the computer field, can solve problems such as lack of object scoring results, low professionalism of experts, and too little expert data

Pending Publication Date: 2019-12-03
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to overcome the lack of objectivity of the object scoring results due to the low professionalism of experts and the small amount of expert data in the prior art, and provide a method and system for professional scoring and item recommendation , equipment and storage media

Method used

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  • Professional degree scoring method and system and article recommendation method and system, equipment and storage medium
  • Professional degree scoring method and system and article recommendation method and system, equipment and storage medium
  • Professional degree scoring method and system and article recommendation method and system, equipment and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0097] A method for scoring user professionalism, such as figure 1 As shown, the user professional degree scoring method includes:

[0098] Step 110, acquiring behavior data of all users;

[0099] Step 120, arbitrarily selecting a target item category and a target user;

[0100] Step 130, extracting the professional degree data of the target user under the target item category from the behavior data;

[0101] Step 140, extract professional degree data of all users under the target item category from the behavior data;

[0102] Step 150: Obtain the professional degree score of the target user for the target item category according to the professional degree data of the target user and the professional degree data of all users.

[0103] It should be noted that the professional degree data mentioned above may be user's purchase data or user's comment data, or may be comments made by other users to the user after the user has commented on the item. For example, like data, etc....

Embodiment 2

[0106] The user professional degree scoring method of this embodiment is further improved on the basis of embodiment 1, and the professional degree data includes consumption data of items purchased by the user, such as figure 2 As shown, step 150 specifically includes:

[0107] Step 1511, extracting some of the items with the highest unit price among all the items under the target item category;

[0108] Step 1512, according to the consumption data of the target user, obtain the first consumption amount of all items purchased by the target user and the second consumption amount of some items purchased by the target user;

[0109] Step 1513, get the total sales of some items according to the consumption data of all users;

[0110] Step 1514, calculate according to the first consumption amount, the second consumption amount and the total sales amount to obtain the first professional degree score used to represent the professional degree of the target user in purchasing; the pr...

Embodiment 3

[0116] The user professional degree scoring method of this embodiment is further improved on the basis of embodiment 2, and the professional degree data includes comment data of items reviewed by users, such as image 3 As shown, another implementation manner of step 150 is provided, which specifically includes:

[0117]Step 1521 , preset a tag library, which stores a plurality of tags corresponding to the target item category; it should be noted that the tags here can be professional nouns or professional sentences corresponding to the target item category.

[0118] Step 1522, calculating the first ratio of the number of tags belonging to the tag library in the comment data of the target user to the total number of tags in the tag library;

[0119] Step 1523: Obtain a second professional degree score for representing the professional degree of the target user's comments according to the first ratio; the professional degree score includes the second professional degree score. ...

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Abstract

The invention discloses a professional degree scoring method and system, an article recommendation method and system, equipment and a storage medium. The user professional degree scoring method comprises: acquiring behavior data of all users; randomly selecting a target article category and a target user; extracting professional degree data of the target user under the target article category fromthe behavior data; extracting professional degree data of all the users under the target article category from the behavior data; and according to the profession degree data of the target user and the profession degree data of all users, obtaining a profession degree score of the target user for the target article category. According to the method, the profession degree data of the target articlecategory corresponding to all the users are extracted from the behavior data of all the users, then the profession degree data of one target user are extracted, and the profession degree score of thetarget user for the target article category is further obtained according to the profession degree data.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a method, system, device and storage medium for professional degree scoring and item recommendation. Background technique [0002] At present, with the advancement of technology and the growth of data volume, the existing expert scoring calculation scheme has many shortcomings in the Internet application scenarios with complex objects. The existing expert scoring mainly comes from the judgment of industry users, and the choice of industry users Subjectivity is strong, and at the same time, due to the small amount of expert data used for evaluation, the final scoring results of items lack objectivity to a certain extent. Contents of the invention [0003] The technical problem to be solved by the present invention is to overcome the lack of objectivity of the object scoring results due to the low professionalism of experts and the small amount of expert data in the...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0631G06Q30/0201
Inventor 谢群群邵荣防郝晖李萧萧张小卫
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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