CN111344695B - 促进特定于域和客户端的应用程序接口推荐 - Google Patents

促进特定于域和客户端的应用程序接口推荐 Download PDF

Info

Publication number
CN111344695B
CN111344695B CN201880072987.4A CN201880072987A CN111344695B CN 111344695 B CN111344695 B CN 111344695B CN 201880072987 A CN201880072987 A CN 201880072987A CN 111344695 B CN111344695 B CN 111344695B
Authority
CN
China
Prior art keywords
application program
client application
program interface
community
computer
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.)
Active
Application number
CN201880072987.4A
Other languages
English (en)
Chinese (zh)
Other versions
CN111344695A (zh
Inventor
林晨
A.卡利亚
萧晋
M.武科维克
N.阿内罗西斯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
International Business Machines Corp
Original Assignee
International Business Machines Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by International Business Machines Corp filed Critical International Business Machines Corp
Publication of CN111344695A publication Critical patent/CN111344695A/zh
Application granted granted Critical
Publication of CN111344695B publication Critical patent/CN111344695B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3344—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
    • G06F16/2264—Multidimensional index structures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/5055—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering software capabilities, i.e. software resources associated or available to the machine
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Machine Translation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Stored Programmes (AREA)
CN201880072987.4A 2017-12-20 2018-12-12 促进特定于域和客户端的应用程序接口推荐 Active CN111344695B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US15/848,563 2017-12-20
US15/848,563 US10831772B2 (en) 2017-12-20 2017-12-20 Facilitation of domain and client-specific application program interface recommendations
PCT/IB2018/059902 WO2019123111A1 (en) 2017-12-20 2018-12-12 Facilitation of domain and client-specific application program interface recommendations

Publications (2)

Publication Number Publication Date
CN111344695A CN111344695A (zh) 2020-06-26
CN111344695B true CN111344695B (zh) 2024-01-23

Family

ID=66816040

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201880072987.4A Active CN111344695B (zh) 2017-12-20 2018-12-12 促进特定于域和客户端的应用程序接口推荐

Country Status (5)

Country Link
US (1) US10831772B2 (enExample)
JP (1) JP7303195B2 (enExample)
CN (1) CN111344695B (enExample)
GB (1) GB2583636A (enExample)
WO (1) WO2019123111A1 (enExample)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020245754A1 (en) * 2019-06-05 2020-12-10 Financial & Risk Organisation Limited Machine-learning natural language processing classifier
US11915701B2 (en) 2019-06-05 2024-02-27 Refinitiv Us Organization Llc Automatic summarization of financial earnings call transcripts
US11093217B2 (en) * 2019-12-03 2021-08-17 International Business Machines Corporation Supervised environment controllable auto-generation of HTML
EP3889849A1 (en) * 2020-03-31 2021-10-06 Tata Consultancy Services Limited Method and system for specific actionable determination in an application
CN114035935B (zh) * 2021-10-13 2024-07-19 上海交通大学 面向多阶段ai云服务的高吞吐异构资源管理方法及器件
CN114356292B (zh) * 2022-02-24 2025-07-22 联想(北京)有限公司 交互信息处理方法、装置及计算机设备
JP2023140166A (ja) 2022-03-22 2023-10-04 キオクシア株式会社 半導体記憶装置
US20240311881A1 (en) * 2023-03-14 2024-09-19 Dell Products L.P. Promoting APIs Based on Usage
CN118394334B (zh) * 2024-06-28 2024-09-10 中邮消费金融有限公司 相似接口推荐方法、装置、设备、存储介质及程序产品

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102262652A (zh) * 2010-05-28 2011-11-30 微软公司 定义用户意图
CN107479879A (zh) * 2017-07-28 2017-12-15 扬州大学 一种面向软件功能维护的api及其使用推荐方法

Family Cites Families (42)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6286047B1 (en) 1998-09-10 2001-09-04 Hewlett-Packard Company Method and system for automatic discovery of network services
US6640231B1 (en) 2000-10-06 2003-10-28 Ontology Works, Inc. Ontology for database design and application development
US7734652B2 (en) * 2003-08-29 2010-06-08 Oracle International Corporation Non-negative matrix factorization from the data in the multi-dimensional data table using the specification and to store metadata representing the built relational database management system
US7383269B2 (en) * 2003-09-12 2008-06-03 Accenture Global Services Gmbh Navigating a software project repository
US7716357B2 (en) 2003-10-24 2010-05-11 Microsoft Corporation Service discovery and publication
US20070288419A1 (en) 2006-06-07 2007-12-13 Motorola, Inc. Method and apparatus for augmenting data and actions with semantic information to facilitate the autonomic operations of components and systems
US7533096B2 (en) * 2006-07-12 2009-05-12 International Business Machines Corporation Computer-based method for finding similar objects using a taxonomy
US8813102B2 (en) 2008-02-22 2014-08-19 Samsung Electronics Co., Ltd. Method and apparatus for generating mashup graph, and method and apparatus for recommending mashup service
US20100235313A1 (en) 2009-03-16 2010-09-16 Tim Rea Media information analysis and recommendation platform
US20110153590A1 (en) 2009-12-18 2011-06-23 Electronics And Telecommunications Research Institute Apparatus and method for searching for open api and generating mashup block skeleton code
US8627322B2 (en) 2010-10-29 2014-01-07 Google Inc. System and method of active risk management to reduce job de-scheduling probability in computer clusters
US8719257B2 (en) * 2011-02-16 2014-05-06 Symantec Corporation Methods and systems for automatically generating semantic/concept searches
US8577914B2 (en) 2011-05-18 2013-11-05 Google Inc. APIS discovery service
US9621435B2 (en) 2012-09-07 2017-04-11 Oracle International Corporation Declarative and extensible model for provisioning of cloud based services
US9367853B2 (en) 2013-03-13 2016-06-14 Salesforce.Com, Inc. Systems, methods, and apparatuses for implementing data upload, processing, and predictive query API exposure
US9130900B2 (en) 2013-03-15 2015-09-08 Bao Tran Assistive agent
US9965792B2 (en) 2013-05-10 2018-05-08 Dell Products L.P. Picks API which facilitates dynamically injecting content onto a web page for search engines
US9448859B2 (en) 2013-09-17 2016-09-20 Qualcomm Incorporated Exploiting hot application programming interfaces (APIs) and action patterns for efficient storage of API logs on mobile devices for behavioral analysis
US10216812B2 (en) * 2013-10-30 2019-02-26 Hewlett Packard Enterprise Development Lp Application programmable interface (API) discovery
US9146787B2 (en) * 2013-11-07 2015-09-29 Accenture Global Services Limited Analytics for application programming interfaces
US9015730B1 (en) 2013-12-17 2015-04-21 International Business Machines Corporation Natural language access to application programming interfaces
US9219736B1 (en) * 2013-12-20 2015-12-22 Google Inc. Application programming interface for rendering personalized related content to third party applications
CN104731828B (zh) * 2013-12-24 2017-12-05 华为技术有限公司 一种跨领域文档相似度计算方法及装置
KR102067017B1 (ko) 2014-01-27 2020-02-11 한국전자통신연구원 매쉬업 서비스를 위한 가상 api 제공 장치 및 방법
KR101536520B1 (ko) * 2014-04-28 2015-07-14 숭실대학교산학협력단 토픽을 추출하고, 추출된 토픽의 적합성을 평가하는 방법 및 서버
WO2016036345A1 (en) * 2014-09-02 2016-03-10 Hewlett-Packard Development Company, L. P. External resource identification
US9886247B2 (en) * 2014-10-30 2018-02-06 International Business Machines Corporation Using an application programming interface (API) data structure in recommending an API composite
US9852132B2 (en) * 2014-11-25 2017-12-26 Chegg, Inc. Building a topical learning model in a content management system
US9588738B2 (en) * 2015-02-16 2017-03-07 International Business Machines Corporation Supporting software application developers to iteratively refine requirements for web application programming interfaces
US9921952B2 (en) 2015-06-02 2018-03-20 International Business Machines Corporation Early risk identification in DevOps environments
US10354006B2 (en) * 2015-10-26 2019-07-16 International Business Machines Corporation System, method, and recording medium for web application programming interface recommendation with consumer provided content
US10705835B2 (en) 2015-12-03 2020-07-07 International Business Machines Corporation Transparent multi-architecture support in a container based cloud
US9626627B1 (en) * 2016-01-26 2017-04-18 International Business Machines Corporation Predicting API storytelling mapping
US10031745B2 (en) 2016-02-02 2018-07-24 International Business Machines Corporation System and method for automatic API candidate generation
US10606658B2 (en) * 2016-03-22 2020-03-31 International Business Machines Corporation Approach to recommending mashups
US20170364331A1 (en) 2016-06-17 2017-12-21 International Business Machines Corporation Method to support multiple versions of apis and to control run-time execution of an api
CN106445515A (zh) 2016-09-18 2017-02-22 深圳市华云中盛科技有限公司 一种基于容器的PaaS云的实现方法
US20180232442A1 (en) * 2017-02-16 2018-08-16 International Business Machines Corporation Web api recommendations
US10430255B2 (en) * 2017-07-03 2019-10-01 Fujitsu Limited Application program interface mashup generation
US10409820B2 (en) 2017-09-19 2019-09-10 Adobe Inc. Semantic mapping of form fields
US10360087B2 (en) * 2017-10-27 2019-07-23 International Business Machines Corporation Web API recommendations based on usage in cloud-provided runtimes
US10579371B2 (en) * 2017-12-13 2020-03-03 International Business Machines Corporation Recommendations for custom software upgrade by cognitive technologies

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102262652A (zh) * 2010-05-28 2011-11-30 微软公司 定义用户意图
CN107479879A (zh) * 2017-07-28 2017-12-15 扬州大学 一种面向软件功能维护的api及其使用推荐方法

Also Published As

Publication number Publication date
GB202010629D0 (en) 2020-08-26
GB2583636A8 (en) 2021-01-13
US20190188276A1 (en) 2019-06-20
JP2021508391A (ja) 2021-03-04
WO2019123111A1 (en) 2019-06-27
US10831772B2 (en) 2020-11-10
GB2583636A (en) 2020-11-04
JP7303195B2 (ja) 2023-07-04
CN111344695A (zh) 2020-06-26

Similar Documents

Publication Publication Date Title
CN111386524B (zh) 促进特定于域和客户端的应用程序接口推荐
CN111344695B (zh) 促进特定于域和客户端的应用程序接口推荐
Nguyen et al. Aggregating and predicting sequence labels from crowd annotations
Shin et al. Incremental knowledge base construction using deepdive
Sanoussi et al. Detection of hate speech texts using machine learning algorithm
De Sa et al. Incremental knowledge base construction using DeepDive
Lim et al. Bibliographic analysis on research publications using authors, categorical labels and the citation network
Chen et al. Clause sentiment identification based on convolutional neural network with context embedding
Pandey et al. Various aspects of sentiment analysis: a review
Arbaaeen et al. Natural language processing based question answering techniques: A survey
Dong et al. Graph contrastive learning networks with augmentation for legal judgment prediction.
Vashishth Neural graph embedding methods for natural language processing
Ghosh et al. Document modeling with hierarchical deep learning approach for sentiment classification
Inan Somun: entity-centric summarization incorporating pre-trained language models
Kowsher et al. Bangla topic classification using supervised learning
Batista Large-scale semantic relationship extraction for information discovery
Tissaoui et al. A top‐down enriching approach for ontology learning from text
Nayak et al. Knowledge graph from informal text: architecture, components, algorithms and applications
Khan et al. Trends and challenges in lifelong machine learning topic models
Saha et al. A Heuristic Approach for Text Classification with Ontology: A Review
Hadri et al. Towards a knowledge graph schema: Taxonomy entity typing with sequence-to-sequence architectures
Wrzalik Beyond Mere Words: Advanced Text Representations for Practical Similarity Analysis
Jonathan et al. Exploring Sentiment Patterns in ChatGPT Interactions: A Machine and Deep Learning Approach to Sentiment Classification
Kapo et al. Mitigating Class Imbalance in Sentiment Analysis of Politicians’ Statements
Shiraee Kasmaee Domain-Specific Text Embedding Models for Information Retrieval

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant