{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:41:47Z","timestamp":1660520507591},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T00:00:00Z","timestamp":1660089600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,10]]},"abstract":"<jats:p>The traditional collaborative filtering algorithm does not consider the influence of item popularity in similarity calculation, and the prediction score does not consider the influence of time on the change of user interest, resulting in inaccurate similarity calculation and single recommendation result. To solve these problems, this paper improved the traditional similarity calculation method by combining the item popularity penalty coefficient, improved the recommendation diversity of the algorithm, and integrated the time factor into the prediction method to solve the problem of interest attenuation. Experiments on the 100K and 1M data set of Movielens show that the improved algorithm effectively improves the accuracy and coverage of recommendations.<\/jats:p>","DOI":"10.3233\/faia220091","type":"book-chapter","created":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:21:35Z","timestamp":1660519295000},"source":"Crossref","is-referenced-by-count":0,"title":["Collaborative Filtering Algorithm Based on Item Popularity and Dynamic Changes of Interest"],"prefix":"10.3233","author":[{"given":"Xuan","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"},{"name":"Naval Aeronautical University, Yantai 264000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Qian","sequence":"additional","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanru","family":"Zhang","sequence":"additional","affiliation":[{"name":"Bejing Goldwind New Energy Trade Co.LTD, Beijing 102600, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Management Engineering and Equipment Economics, Naval University of Engineering, Wuhan 430033, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data III"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220091","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:21:36Z","timestamp":1660519296000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220091"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,10]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220091","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,10]]}}}