{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:46:51Z","timestamp":1777704411809,"version":"3.51.4"},"reference-count":16,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,8,24]]},"abstract":"<jats:p>In traditional user portrait construction methods, static word vectors can extract only shallow semantic representations, which cannot manage word polysemy. Moreover, the common clustering algorithm K-means has the problems of initial K values and unstable initial centroid selection. A Bert-CK model based on Bert and CK-means+ is proposed. First, Bert is used to extract semantic and syntactic text features at various levels, and word vectors and sentence vectors are obtained according to the context. Then, the CK-means+ algorithm is improved based on canopy and mean calculation. Next, the K value and initial centroid are determined. The sentence vectors are input to CK-means+ to obtain user classification and topic features. Finally, semantic features and topic features are fused and classified. CK-means+ is evaluated on the Sogou user portrait dataset. The experimental results verify that Bert-CK is better than the baseline model.<\/jats:p>","DOI":"10.3233\/jifs-224531","type":"journal-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T10:36:48Z","timestamp":1688467008000},"page":"4585-4597","source":"Crossref","is-referenced-by-count":3,"title":["Bert-CK: A study of user profile classification based on Bert and CK-means+ fusion"],"prefix":"10.1177","volume":"45","author":[{"given":"Yurong","family":"Qian","sequence":"first","affiliation":[{"name":"School of Software, Xin Jiang University, Urumqi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinxin","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Software, Xin Jiang University, Urumqi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Software, Xin Jiang University, Urumqi, 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