{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:39:48Z","timestamp":1781109588659,"version":"3.54.1"},"reference-count":25,"publisher":"IGI Global Scientific Publishing","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,1,1]]},"abstract":"<p>The competition among manufacturers and service providing companies as well as the widespread presence of electronic processes has introduced new business models that need special e-Marketing. Social network marketing is one of the most recent types of marketing. Today, due to their flexibility and ease of use, social networks have fallen in the center of attention for users of various age groups. The variety of online social network groups, some of which are created with commercial goals, has made users uncertain and skeptical; on the other hand, in today\u2019s competitive market, companies are seeking their potential and actual customers. To solve this problem, this paper introduced a group recommender system which, using data mining techniques and information theory, offers customized recommendations based on user preferences. Supposing that users in each group share similar characteristics, heterogeneous members are identified and removed. Unlike other methods, in special cases where the user does not have relationships with other members or when an activity history for the user does not exist, this method could yet offer recommendations.<\/p>","DOI":"10.4018\/ijom.2012010105","type":"journal-article","created":{"date-parts":[[2012,4,5]],"date-time":"2012-04-05T09:16:48Z","timestamp":1333617408000},"page":"50-63","source":"Crossref","is-referenced-by-count":1,"title":["Applying Personalized Recommendation for Social Network Marketing"],"prefix":"10.4018","volume":"2","author":[{"given":"Leila","family":"Esmaeili","sequence":"first","affiliation":[{"name":"University of Qom, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramin","family":"Nasiri","sequence":"additional","affiliation":[{"name":"University of Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Behrouz","family":"Minaei-Bidgoli","sequence":"additional","affiliation":[{"name":"Iran University of Science and Technology, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"issue":"6","key":"ijom.2012010105-0","doi-asserted-by":"crossref","DOI":"10.5210\/fm.v8i6.1057","article-title":"A social network caught in the web.","volume":"8","author":"L. 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Buccafurri (Eds.), Proceedings of the 10th International Conference on E-Commerce and Web Technologies (LNCS 5692, pp. 26-37).","DOI":"10.1007\/978-3-642-03964-5_4"},{"key":"ijom.2012010105-8","author":"R. M.Gray","year":"2009","journal-title":"Entropy and information theory"},{"key":"ijom.2012010105-9","author":"J.Hair","year":"1998","journal-title":"Multivariate data analysis"},{"key":"ijom.2012010105-10","unstructured":"Haji-Esmaeili, L., Arasteh, M. A., & Borhani-fard, Z. (2009, November). Social Network Marketing in e-Tourism. In Proceedings of the 4th International Conference on E-Commerce, Kuala Lumpur, Malaysia."},{"key":"ijom.2012010105-11","author":"J.Han","year":"2006","journal-title":"Data Mining: Concepts and Techniques"},{"key":"ijom.2012010105-12","doi-asserted-by":"crossref","unstructured":"Jameson, A. (2004). More than the sum of its members: Challenges for group recommender systems. 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