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A method and device for personalized information recommendation based on classification index prediction

A technology of classification indicators and recommendation methods, which is applied in the computer field and can solve unreasonable problems

Active Publication Date: 2021-05-18
GUANGDONG OKING INFORMATION IND CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In this case, it is obviously unreasonable to use the same similarity evaluation strategy for different user objects to determine whether to push the "lack of condition prompt" message

Method used

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  • A method and device for personalized information recommendation based on classification index prediction
  • A method and device for personalized information recommendation based on classification index prediction
  • A method and device for personalized information recommendation based on classification index prediction

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Embodiment Construction

[0031] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.

[0032] Such as figure 1 As shown, an information personalized recommendation method based on classification index prediction is deployed in a network system, and information recommendation is performed through calculation and analysis of input information, including the following steps;

[0033] Step 1. Define the categories of information push conditions, which are: A-type indicators with fixed values, B-type indicators with clear and regular growth values, and C-type indicators with irregular value changes;

[0034] Step 2: Calculate and predict the growth by category. If the A-type indicators do not meet the information push conditions, the push process ends. If the A-type indicators meet the push conditions, enter the B-type indicator calculation process; if the B-type indicators meet the push c...

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Abstract

The present invention relates to a personalized information recommendation method based on classification index prediction, which includes the following steps: step 1, the information push conditions are divided into three categories, namely: category A indicators with fixed values, and category B indicators with clear and regular growth Type C indicators whose indicators and values ​​change irregularly; step 2, classify and calculate the predicted growth situation, and then calculate and compare the conformity of each category of indicators. The present invention classifies various push conditions of various kinds, and compares push conditions of different categories with different rules, thereby speeding up the response of the system. For C-type indicators without a clear growth law, a forecast calculation formula based on the change in growth rate is given to achieve a more reasonable push.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for personalized information recommendation based on classification index prediction. Background technique [0002] Information personalized recommendation system aims to provide users with personalized information services and decision support based on certain algorithms. It is currently widely used in policy push, service recommendation, business recommendation, entertainment recommendation, learning recommendation, life recommendation, decision support, etc field. [0003] For user objects that do not fully meet the information push conditions, you can currently push a "lack of condition reminder" message to those who are closer to the push conditions to help them understand their own situation and clarify the direction of improvement, and look forward to these user objects after a period of development. , which meets the information push conditions and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
Inventor 黄文俊罗云许红龙
Owner GUANGDONG OKING INFORMATION IND CO LTD
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