Proceedings of the 1993 ACM SIGMOD International conference on management of data, pp 207–216Īl-Jarrah OY, Yoo D, Muhaidat S, Karagiannidis K, Taha K (2015) Efficient machine learning for big data: a review. Īgrawal R, Imilienski T, Swami A (1993) Mining association rules between sets of items in large databases. This study shows how the research results can obtain fans behavior knowledge by examining different group profiles and develop rule-based recommendation approach to generate personalized recommendations for building a SNM mechanism.Īgrawal R, Shafer J (1996) Parallel Mining of Association Rules. In the second stage, this study develops a personalized recommendation system (PRS) using big data analytics approach, including cluster analysis and association rules. All questions use nominal and ordinal scales. This study examines the experience of various Taiwanese fan page users utilizing a market survey, a total of 1032 valid questionnaire data, and the questionnaire is divided into five sections with 33 items in terms of a big data structure based on a relational database on the first research stage.
In addition, precise SNM requires sufficient data and analysis in terms of making accurate online recommendations. Social network marketing (SNM) is a form of Internet marketing involving the creation and sharing of content on social media networks to achieve marketing and selling goals. A fan page is a kind of a social network.
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