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In this paper, we propose a data mining framework that utilizes the concept of social network for the targeted advertising of products. This approach discovers the cohesive subgroups from customer’s social network which is derived from customer’s interaction data. Based on the set of cohesive subgroups, we infer the probabilities of customer’s liking a(More)
In this paper, we propose a framework that utilizes the concept of a social network for the targeted advertising of products. This approach discovers the cohesive subgroups from a customer’s social network as derived from the customer’s interaction data, and uses them to infer the probability of a customer preferring a product category from transaction(More)
Exploring new applications and services for mobile environments has generated considerable excitement among both commercial companies and academics. In this paper we propose a location-aware recommender system that accommodates a customer’s shopping needs with location-dependent vendor offers and promotions. Specifically, we propose a recommender system for(More)
The follicle-stimulating hormone receptor (FSHR) large extracellular domain suggests that interaction of ligand with receptor is likely to be complex. Residues 265-296 of the FSHR are part of a sequence primarily nonhomologous with other glycoprotein hormone receptors. A reasonable hypothesis is that this sequence of the FSHR plays a role in binding FSH.(More)
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