Keyword-Driven Service Recommendation Via Deep Reinforced Steiner Tree Search-Reference-Cited by-同舟云学术

Keyword-Driven Service Recommendation Via Deep Reinforced Steiner Tree Search

Published:2023-03 Issue:3 Volume:19 Page:2930-2941
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Chen Hailong¹^ORCID,Wu Hao¹^ORCID,Li Jiahui¹,Wang Xin²^ORCID,Zhang Lei³^ORCID

Affiliation:

1. School of Information Science and Engineering, Key Laboratory of Intelligent Systems and Computing of Yunnan Province, Yunnan University, Kunming, China

2. School of Computer Science, Wuhan University, Wuhan, China

3. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China

Funder

National Natural Science Foundation of China

Yunnan High-Level Talent Training Support Plan: Young Top Talent Special Project

Yunnan Provincial Foundation for Leaders of Disciplines in Science and Technology

Postgraduate Research and Innovation Foundation of Yunnan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10064202/09780620.pdf?arnumber=9780620

Reference36 articles.

1. Multiple Attributes QoS Prediction via Deep Neural Model with Contexts*

2. Compatibility-Aware Web API Recommendation for Mashup Creation via Textual Description Mining

3. Regularizing Matrix Factorization with Implicit User Preference Embeddings for Web API Recommendation

4. Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search

5. Data-Driven Web APIs Recommendation for Building Web Applications

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