CA3150183A1 - Methode et dispositif de moteur de traitement de diffusion flink pour la recommandation en temps reel et materiel informatique - Google Patents
Methode et dispositif de moteur de traitement de diffusion flink pour la recommandation en temps reel et materiel informatiqueInfo
- Publication number
- CA3150183A1 CA3150183A1 CA3150183A CA3150183A CA3150183A1 CA 3150183 A1 CA3150183 A1 CA 3150183A1 CA 3150183 A CA3150183 A CA 3150183A CA 3150183 A CA3150183 A CA 3150183A CA 3150183 A1 CA3150183 A1 CA 3150183A1
- Authority
- CA
- Canada
- Prior art keywords
- term feature
- short
- term
- recommended user
- model file
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012545 processing Methods 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000004364 calculation method Methods 0.000 claims abstract description 74
- 230000007774 longterm Effects 0.000 claims abstract description 73
- 238000004422 calculation algorithm Methods 0.000 claims description 34
- 230000015654 memory Effects 0.000 claims description 30
- 230000002688 persistence Effects 0.000 claims description 28
- 238000004590 computer program Methods 0.000 claims description 18
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000006399 behavior Effects 0.000 description 15
- 230000004044 response Effects 0.000 description 14
- 238000011161 development Methods 0.000 description 7
- 230000002829 reductive effect Effects 0.000 description 7
- 238000010801 machine learning Methods 0.000 description 5
- 238000002360 preparation method Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000036961 partial effect Effects 0.000 description 4
- 238000012549 training Methods 0.000 description 4
- 230000001960 triggered effect Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000003066 decision tree Methods 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 238000011084 recovery Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24568—Data stream processing; Continuous queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Computing Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
Concernant le domaine de la technologie de recommandation des mégadonnées, la présente demande décrit une méthode du moteur de traitement de flux de Flink pour des recommandations en temps réel, ainsi quun dispositif et un matériel informatique connexes. La méthode comprend le fait deffectuer un calcul de caractéristique à court terme sur une connexion à une file de messages en fonction dun dossier de modèles de calcul et le stockage des caractéristiques à court terme obtenues par le calcul dans une couche de stockage distribué, dans lequel la couche de stockage distribué stocke les caractéristiques à long terme obtenues préalablement et une caractéristique à court terme dun utilisateur recommandé potentiel de la couche de stockage distribué. La méthode comprend également le fait deffectuer une prédiction en temps réel en fonction dun dossier de modèle de prédiction et des caractéristiques à long terme et à court terme de lutilisateur recommandé potentiel, dans le but dobtenir dun résultat de prédiction de préférence de lutilisateur recommandé potentiel, lors de la réception dun événement de la file de messages, ainsi que lécriture du résultat de prédiction de préférence de lutilisateur recommandé potentiel dans la couche de stockage distribué.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110215212.1A CN112948450B (zh) | 2021-02-25 | 2021-02-25 | 用于实时推荐的Flink流式处理引擎方法、装置及计算机设备 |
| CN202110215212.1 | 2021-02-25 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA3150183A1 true CA3150183A1 (fr) | 2022-08-25 |
| CA3150183C CA3150183C (fr) | 2024-02-27 |
Family
ID=76246402
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3150183A Active CA3150183C (fr) | 2021-02-25 | 2022-02-25 | Methode et dispositif de moteur de traitement de diffusion flink pour la recommandation en temps reel et materiel informatique |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112948450B (fr) |
| CA (1) | CA3150183C (fr) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115499303A (zh) * | 2022-08-29 | 2022-12-20 | 浪潮软件科技有限公司 | 一种基于Flink的日志分析工具 |
| CN116156263A (zh) * | 2023-03-06 | 2023-05-23 | 四川长虹电器股份有限公司 | 一种用户实时追剧处理方法 |
| CN116628274A (zh) * | 2023-07-25 | 2023-08-22 | 浙江锦智人工智能科技有限公司 | 一种针对图数据库的数据写入方法、设备及介质 |
| CN117435367A (zh) * | 2023-11-07 | 2024-01-23 | 上海鱼尔网络科技有限公司 | 用户行为处理方法、装置、设备、存储介质和程序产品 |
| CN117435367B (zh) * | 2023-11-07 | 2024-06-04 | 上海鱼尔网络科技有限公司 | 用户行为处理方法、装置、设备、存储介质和程序产品 |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116049190A (zh) * | 2023-01-18 | 2023-05-02 | 中电金信软件有限公司 | 基于Kafka的数据处理方法、装置、计算机设备和存储介质 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106126641B (zh) * | 2016-06-24 | 2019-02-05 | 中国科学技术大学 | 一种基于Spark的实时推荐系统及方法 |
| CN109635204A (zh) * | 2018-12-21 | 2019-04-16 | 上海交通大学 | 基于协同过滤和长短记忆网络的在线推荐系统 |
| CN111897861A (zh) * | 2020-06-30 | 2020-11-06 | 苏宁金融科技(南京)有限公司 | 一种内容推荐方法、装置、计算机设备及存储介质 |
-
2021
- 2021-02-25 CN CN202110215212.1A patent/CN112948450B/zh active Active
-
2022
- 2022-02-25 CA CA3150183A patent/CA3150183C/fr active Active
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115499303A (zh) * | 2022-08-29 | 2022-12-20 | 浪潮软件科技有限公司 | 一种基于Flink的日志分析工具 |
| CN116156263A (zh) * | 2023-03-06 | 2023-05-23 | 四川长虹电器股份有限公司 | 一种用户实时追剧处理方法 |
| CN116628274A (zh) * | 2023-07-25 | 2023-08-22 | 浙江锦智人工智能科技有限公司 | 一种针对图数据库的数据写入方法、设备及介质 |
| CN116628274B (zh) * | 2023-07-25 | 2023-09-22 | 浙江锦智人工智能科技有限公司 | 一种针对图数据库的数据写入方法、设备及介质 |
| CN117435367A (zh) * | 2023-11-07 | 2024-01-23 | 上海鱼尔网络科技有限公司 | 用户行为处理方法、装置、设备、存储介质和程序产品 |
| CN117435367B (zh) * | 2023-11-07 | 2024-06-04 | 上海鱼尔网络科技有限公司 | 用户行为处理方法、装置、设备、存储介质和程序产品 |
Also Published As
| Publication number | Publication date |
|---|---|
| CA3150183C (fr) | 2024-02-27 |
| CN112948450A (zh) | 2021-06-11 |
| CN112948450B (zh) | 2023-04-14 |
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Legal Events
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| EEER | Examination request |
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| EEER | Examination request |
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| EEER | Examination request |
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| EEER | Examination request |
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| EEER | Examination request |
Effective date: 20220916 |