{"title":"Application of Recommender System in Standardization","authors":"Girish Chandra, Arunabha Mukhopadhyay","doi":"10.1109/CONISOFT52520.2021.00013","DOIUrl":null,"url":null,"abstract":"Recommender Systems are popular in domains such as Entertainment, Ecommerce, Social, Job however there are many new domains where it can play a useful role. In this Paper, Application of Recommender system is proposed in Standardization area to recommend set of Consortiums to Technology Organizations for membership. Consortiums (such as The Open Group, Object Management Group and others) specialize in one or more than one area(s) and active in Standardization. To formalize their work as International Standard, they Liaison with ISO Sub Committee(s)/Working Group(s) where they work with other Participants and after due process publish the work as formal International Standard. Due to Technological evolution, multiple such Consortiums are emerging as a Long Tail where the most popular Consortium gets more focus than others. In this Paper, the Proposed Recommendation Engine uses the Consortium Focus Area Attributes and membership details to recommend the most suitable set of Consortiums to Technology Organizations.","PeriodicalId":380632,"journal":{"name":"2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONISOFT52520.2021.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recommender Systems are popular in domains such as Entertainment, Ecommerce, Social, Job however there are many new domains where it can play a useful role. In this Paper, Application of Recommender system is proposed in Standardization area to recommend set of Consortiums to Technology Organizations for membership. Consortiums (such as The Open Group, Object Management Group and others) specialize in one or more than one area(s) and active in Standardization. To formalize their work as International Standard, they Liaison with ISO Sub Committee(s)/Working Group(s) where they work with other Participants and after due process publish the work as formal International Standard. Due to Technological evolution, multiple such Consortiums are emerging as a Long Tail where the most popular Consortium gets more focus than others. In this Paper, the Proposed Recommendation Engine uses the Consortium Focus Area Attributes and membership details to recommend the most suitable set of Consortiums to Technology Organizations.