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It is crucial to work out how to acquire personalized requirement of users accurately and effectively from huge amount of network document resources. Group recommendation is an information system for group participation in common activities that meets the common interests of all members in the group. This paper proposes a group recommendation system for network document resource exploration using the knowledge graph and LSTM in edge computing, which can solve the problem of information overload and resource trek effectively. An extensive system test has been carried out in the field of big data application in packaging industry. The experimental results show that the proposed system recommends network document resource more accurately and further improves recommendation quality using the knowledge graph and LSTM in edge computing. Therefore, it can meet the user\u2019s personalized resource need more effectively.<\/jats:p>","DOI":"10.1155\/2020\/8843803","type":"journal-article","created":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T02:37:01Z","timestamp":1606963021000},"page":"1-11","source":"Crossref","is-referenced-by-count":11,"title":["A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing"],"prefix":"10.1155","volume":"2020","author":[{"given":"Yuezhong","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer Science, Hunan University of Technology, Zhuzhou 412007, China"},{"name":"Intelligent Information Perception and Processing Technology Hunan Province Key Laboratory, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8701-8737","authenticated-orcid":true,"given":"Qiang","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science, Hunan University of Technology, Zhuzhou 412007, China"},{"name":"Intelligent Information Perception and Processing Technology Hunan Province Key Laboratory, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongrong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Business, Hunan University of Technology, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7662-101X","authenticated-orcid":true,"given":"Changyun","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science, Hunan University of Technology, Zhuzhou 412007, China"},{"name":"Intelligent Information Perception and Processing Technology Hunan Province Key Laboratory, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziran","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Computer Science, Hunan University of Technology, Zhuzhou 412007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"1","key":"1","doi-asserted-by":"crossref","first-page":"91","DOI":"10.3724\/SP.J.1001.2013.04292","article-title":"Mobile recommender systems and their applications","volume":"24","author":"X. 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