{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T15:00:20Z","timestamp":1753887620002,"version":"3.41.2"},"reference-count":29,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T00:00:00Z","timestamp":1635811200000},"content-version":"vor","delay-in-days":305,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012456","name":"National Social Science Foundation of China","doi-asserted-by":"crossref","award":["16BGL089"],"award-info":[{"award-number":["16BGL089"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>With the rise of network strategies, various businesses using the Internet as a platform have been vigorously developed, among which the scale of e\u2010commerce transactions has increased on a large scale. In order to deeply explore the role and advantages of data fusion and multiobjective optimization technology in consumer online reviews, this paper uses the new and old evaluation model comparison method, algorithm design method, and multiobject research method to collect samples, analyze the technical model, and streamline the algorithm. And it will create an analysis algorithm model that can improve and optimize the consumer\u2019s current online reviews. First, we choose the electricity supplier on the platform of a total of four mobile phones grabbed 32,145 comments. Based on this research on the number of online comment fields of consumers, the results show that 78% of the comments are less than 55 words, indicating that most of the online comments left by consumers are short comments; at the same time, a small number of consumers have left detailed comments. Description, the longest of is reached 612 words. On this basis, further study the efficiency and function analysis of the algorithm proposed in this paper, and we can see that DCDG\u2010MOMA is used in 14\u20107 and 28\u20107 use cases as 1 and 2, respectively, which is the least, and at 40\u20107 and 50\u20107, the time used is 15 and 20 which is close to PBI, but it is also much less time than the MOMAD algorithm. This further shows that the algorithm really plays an effective role in the actual decision\u2010making process. It has basically realized a more efficient algorithm for consumer online reviews under the background of applying data fusion and multiobjective optimization technology.<\/jats:p>","DOI":"10.1155\/2021\/6252425","type":"journal-article","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T22:21:08Z","timestamp":1635891668000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Evolution and Quality Analysis Algorithm of Consumer Online Reviews Based on Data Fusion and Multiobjective Optimization"],"prefix":"10.1155","volume":"2021","author":[{"given":"Hu","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6958-2796","authenticated-orcid":false,"given":"Tianbao","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7226-3921","authenticated-orcid":false,"given":"Yanxia","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,11,2]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1142\/S2196888821300015"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.3390\/jtaer16050085"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00202-016-0427-9"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.2478\/jdis-2020-0004"},{"key":"e_1_2_9_5_2","first-page":"162","article-title":"Digital business leadership: digital transformation, business model innovation, agile organization, change management","volume":"60","author":"Arora C.","year":"2019","journal-title":"Computing Reviews"},{"key":"e_1_2_9_6_2","first-page":"121","article-title":"Austrian review of international and European law","volume":"1","author":"Brill","year":"2016","journal-title":"Austrian Review of International & European Law Online"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-015-1972-2"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1111\/rirt.12689"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3085906"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/ags3.12000"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.12602"},{"volume-title":"Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things","year":"2019","author":"Guido D.","key":"e_1_2_9_12_2"},{"key":"e_1_2_9_13_2","first-page":"361","article-title":"Supply chain evolution. 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