Enhancing Purchase Behavior Prediction with Temporally Popular Items

Combination of multiple classifiers for the customer's purchase behavior prediction

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...

Corpus for Customer Purchase Behavior Prediction in Social Media

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...

Cold Start Purchase Prediction with Budgets Constraints

IJCAI-16 Contest Brick-and-Mortar Store Recommendation with Budget Constraints is about buyer nearby brick-and-mortar stores recommendation. The main task of this competition focuses on predicting nearby store buying action when users enter new areas they rarely visited in the past. The contest has two novelties: first, given huge amount of online user behavior with on-site shopping record of m...

Towards understanding online purchase behavior

Enhancing Behavior Protocols with Exceptions

Formal methods for describing the communicating behavior of software components are believed to become widely used. Based on our experience with creating a formal behavior model of an already existing reasonably-large project, handling exceptions explicitly in the formal language is a necessity. Otherwise the specification becomes undesirably large, hard to read and consequently error-prone. Th...