WO2021139432A9 - Artificial intelligence-based user rating prediction method and apparatus, terminal, and medium - Google Patents

Artificial intelligence-based user rating prediction method and apparatus, terminal, and medium Download PDF

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Publication number
WO2021139432A9
WO2021139432A9 PCT/CN2020/131955 CN2020131955W WO2021139432A9 WO 2021139432 A9 WO2021139432 A9 WO 2021139432A9 CN 2020131955 W CN2020131955 W CN 2020131955W WO 2021139432 A9 WO2021139432 A9 WO 2021139432A9
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WIPO (PCT)
Prior art keywords
rating prediction
fully connected
user rating
artificial intelligence
neural network
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PCT/CN2020/131955
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French (fr)
Chinese (zh)
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WO2021139432A1 (en
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吴志成
张莉
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平安科技（深圳）有限公司
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Publication of WO2021139432A1 publication Critical patent/WO2021139432A1/en
Publication of WO2021139432A9 publication Critical patent/WO2021139432A9/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0202—Market predictions or forecasting for commercial activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Technology Law (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present application relates to the technical field of artificial intelligence, and provides an artificial intelligence-based user rating prediction method and apparatus, a terminal, and a medium. The method comprises: calculating a saturation and a correlation of each data indicator; extracting a plurality of modelling data indicators from among the plurality of data indicators according to the saturations and the correlations, and inputting into a first input layer in a preset neural network framework; grouping all nodes of a current fully connected layer according to a preset grouping rule, determining a target node in each group, and using the plurality of target nodes of the current fully connected layer to perform fully connected training on a next fully connected layer, until training of a last fully connected layer is complete; iteratively training the preset neural network framework according to a predicted rating label outputted by a last output layer of the preset neural network framework, to obtain a user rating prediction model; using the user rating prediction model to perform rating prediction on a target user. The present application can increase the efficiency of user rating prediction, and improve the accuracy of user rating prediction.
PCT/CN2020/131955 2020-10-13 2020-11-26 Artificial intelligence-based user rating prediction method and apparatus, terminal, and medium WO2021139432A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202011092932.5 2020-10-13
CN202011092932.5A CN112102011A (en) 2020-10-13 2020-10-13 User grade prediction method, device, terminal and medium based on artificial intelligence

Publications (2)

Publication Number Publication Date
WO2021139432A1 WO2021139432A1 (en) 2021-07-15
WO2021139432A9 true WO2021139432A9 (en) 2021-09-23

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PCT/CN2020/131955 WO2021139432A1 (en) 2020-10-13 2020-11-26 Artificial intelligence-based user rating prediction method and apparatus, terminal, and medium

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CN (1) CN112102011A (en)
WO (1) WO2021139432A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112818028B (en) * 2021-01-12 2021-09-17 平安科技（深圳）有限公司 Data index screening method and device, computer equipment and storage medium
CN113723524B (en) * 2021-08-31 2024-05-17 深圳平安智慧医健科技有限公司 Data processing method based on prediction model, related equipment and medium
CN117112574B (en) * 2023-10-20 2024-02-23 美云智数科技有限公司 Tree service data construction method, device, computer equipment and storage medium

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110874758A (en) * 2018-09-03 2020-03-10 北京京东金融科技控股有限公司 Potential customer prediction method, device, system, electronic equipment and storage medium
CN109711860A (en) * 2018-11-12 2019-05-03 平安科技（深圳）有限公司 Prediction technique and device, storage medium, the computer equipment of user behavior
CN110674716A (en) * 2019-09-16 2020-01-10 腾讯云计算（北京）有限责任公司 Image recognition method, device and storage medium
CN110852785B (en) * 2019-10-12 2023-11-21 中国平安人寿保险股份有限公司 User grading method, device and computer readable storage medium

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Publication number Publication date
CN112102011A (en) 2020-12-18
WO2021139432A1 (en) 2021-07-15

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