Fuzzy Cognitive Maps (FCMs) have successfully been applied in numerous domains to show the relations between essential components in complex systems. In this paper, a novel learning method is proposed to construct FCMs based on historical data and by using meta-heuristic: Genetic Algorithm (GA), Simulated Annealing (SA), and Tabu Search (TS). Implementation of the proposed method has demonstrat...

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In these days, EC companies are eager to learn about their customers using data mining technologies. But the diverse situations of such companies make it difficult to know which is the most effective algorithm for the given problems. Recently, a movement towards combining multiple classifiers has emerged to improve classification results. In this paper, we propose a method for the prediction of...

Group buying websites are getting increasingly popular in the recent years. These websites typically work with merchants to offer group deals at attractive prices. They need a pre-determined minimum number of buyers for a deal before that deal is on. It is therefore important for marketers to understand how they can encourage consumers to buy these online group deals early. Using the right pers...

Many people post about their daily life on social media. These posts may include information about the purchase activity of people, and insights useful to companies can be derived from them: e.g. profile information of a user who mentioned something about their product. As a further advanced analysis, we consider extracting users who are likely to buy a product from the set of users who mention...

The household setting may be the most important level at which to understand the food choices of individuals and how healthful food choices can be promoted. However, there are few available measures of the food purchase behaviors of households and little consensus on the best way to measure it. This review explores the currently available measures of household food purchasing behavior. Three ma...

The advent of sponsored search advertising raises many interesting questions regarding consumer's behavior, seller's advertising strategy, and the ensuing market dynamics. Online markets are characterized by significant information asymmetries and consumers rely on a number of informational cues or signals to infer the seller's quality. Of the various quality signals, advertising and price have...

Understanding users’ behavior and predicting their future purchase are critical for e-commerce companies to boost their revenue.While explicit user feedback such as ratings plays the most significant role in eliciting users’ preferences, such feedback is scarce, which prompts the need for leveraging more abundant implicit user feedback such as purchase record. Consequently, recent studies focus...

This study investigates the effects of corporate-, productand user image dimensions on purchase intentions, with cognitive and affective attitudes as mediator. A questionnaire survey was conducted with convenience sample. The results demonstrate significant effects of three brand image dimensions on purchase intention. In addition, the cognitive and affective attitudes fully or partially accoun...