{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T17:15:21Z","timestamp":1660842921001},"reference-count":13,"publisher":"Tsinghua University Press","issue":"2","license":[{"start":{"date-parts":[[2017,6,12]],"date-time":"2017-06-12T00:00:00Z","timestamp":1497225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJCS"],"published-print":{"date-parts":[[2017,6,12]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to study the architecture of holographic personalized portal, user modeling, commodity modeling and intelligent interaction.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>In this paper, the authors propose crowd-science industrial ecological system based on holographic personalized portal and its interaction. The holographic personality portal is based on holographic enterprises, commodities and consumers, and the personalized portal consists of accurate ontology, reliable supply, intelligent demand and smart cyberspace.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The personalized portal can realize the information acquisition, characteristic analysis and holographic presentation. Then, the intelligent interaction, e.g. demand decomposition, personalized search, personalized presentation and demand prediction, will be implemented within the personalized portal.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The authors believe that their work on intelligent interaction based on holographic personalized portal, which has been first proposed in this paper, is innovation focusing on the interaction between intelligence and convenience.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ijcs-08-2017-0016","type":"journal-article","created":{"date-parts":[[2017,11,15]],"date-time":"2017-11-15T13:34:00Z","timestamp":1510752840000},"page":"171-182","source":"Crossref","is-referenced-by-count":1,"title":["Intelligent interaction based on holographic personalized portal"],"prefix":"10.26599","volume":"1","author":[{"given":"Yadong","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yueting","family":"Chai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/506218.506241"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0272-6963(02)00035-9"},{"key":"ref12","first-page":"134","article-title":"Multiple attribute decision making based on different types of linguistic information","volume":"22","author":"xu","year":"2006","journal-title":"Journal of Southeast University"},{"key":"ref13","author":"ying","year":"2003","journal-title":"The research on user modeling for internet personalized services [D]"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2013.10.291"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1287\/mksc.1070.0306"},{"key":"ref6","article-title":"WebWatcher: a tour guide for the world wide web","author":"joachims","year":"0","journal-title":"Proceedings of the IJCAI"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/359784.359836"},{"key":"ref8","first-page":"447","volume":"53","author":"koren","year":"2009","journal-title":"Collaborative Filtering with Temporal Dynamics"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2431211.2431215"},{"key":"ref2","first-page":"4","article-title":"Data mining techniques for personalization","volume":"23","author":"aggarwal","year":"2000","journal-title":"Data Engineering Bulletin"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1055709.1055714"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.09.012"}],"container-title":["International Journal of Crowd Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-08-2017-0016\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-08-2017-0016\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T16:30:37Z","timestamp":1660840237000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJCS-08-2017-0016\/full\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,12]]},"references-count":13,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,6,12]]}},"alternative-id":["10.1108\/IJCS-08-2017-0016"],"URL":"https:\/\/doi.org\/10.1108\/ijcs-08-2017-0016","relation":{},"ISSN":["2398-7294"],"issn-type":[{"value":"2398-7294","type":"print"}],"subject":[],"published":{"date-parts":[[2017,6,12]]}}}