Structure identification of fuzzy model
Fuzzy Sets and Systems
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Maintaining time-decaying stream aggregates
Journal of Algorithms
2nd International Workshop on Software Ecosystems (EcoSys)
Proceedings of the Fourth European Conference on Software Architecture: Companion Volume
Software ecosystems - A systematic literature review
Journal of Systems and Software
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The exploration of online social ecosystems whose members share mutual recommendations and interactions is a time-dependent and contextual-based process which aims to predict the social status among them. To address the difficulties associated with the process, this article presents the integration of the predictive recommender, social networks, and interaction components into a single methodology. The originality of the proposed framework stems from developing each model based on: (1) a time history and decay algorithm to consider temporal recommendations and interactions; (2) a predictive-aggregating function for different types of social contexts; and, (3) a homophily algorithm to evaluate people's interconnections proximity. Details of the framework are described, a recommender search strategy methodology integrating all of the above is devised, and a case study is used to demonstrate its capabilities. Possible extensions are then outlined.