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Content sharing based on user profiles – automated

Leading article: 2018. March (MIAU No. 235.)
(Previous article: MIAU No. 234.)

Keywords: pivot, olap, building of groups homogeneity index, ranking

Abstract: The dimensions of the user profiles (whatever these dimensions describe) are capable of building homogeneous groups using the dimensions for filtering users. If content sharing should maximize homogeneity within groups, then such kind of contents should be shared/recommended, which characterize the most members of a group. The top lists concerning user groups can be derived through simple SQL/statistical steps. A given user can be member in different groups, therefore this user can have different contents for recommendation. The different sources for recommendation should be joined into a common set. However, it is necessary to create a homogeneity index to ensure, that the ranking of the element from the top lists for different user groups can be calculated. This kind of estimation of sharable contents can be automated entirely. The demo solution has been executed in Excel based on pivot reports and standard funcions. More (DOC) *** More (PDF)

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