We propose a new topic model for tracking timevarying consumer purchase behavior, in which consumer interests and item trends change over time. The proposed model can adaptively track changes in interests and trends based on current purchase logs and previously estimated interests and trends. The online nature of the proposed method means we do not need to store past data for current inferences...

Modern e-commerce recommendation systems recommend users products through purchase prediction off of historical purchase data. This signal however has limitations as new and long tail products have little to no such signal to exploit. One signal however that influences user purchase behavior, especially in verticals such as fashion, is visual. In this paper we explore how visual similarity and ...

Customer lifetime value (CLV) measurement is challenging as it requires forecasting customers' future purchases. Existing stochastic CLV models for this purpose generally make the following assumptions: 1) purchase behavior of customers can be described by purchase frequency and the average monetary value of transactions, 2) customers keep the same purchase behavior pattern over time, 3) purcha...

Consider a retailer announces both the regular price and the post-season clearance price at the beginning of the selling season. Throughout the season, customers arrive in accord with a Poisson process. In this paper we analyze the impact of two types of customer purchasing behavior and two common in-store display formats on the retailer’s optimal expected profit and optimal order quantity. We ...

There is little research on trust and satisfaction in the electronic commerce from a longitudinal (preand postpurchase) perspective. Based on previous frameworks and theories, this study developed a combined model of consumer trust and satisfaction in the context of Internet shopping. From the valance framework and expectation-confirmation theory, several prepurchase and post-purchase factors s...

Contingency in consumer choice behavior has long been discussed, and this behavioral uncertainty has appeared to occur because purchase context can change a consumer’s decision-making strategy; yet, the specific mechanism of this context has remained unclear. Some studies in computational brain research have explained that contexts have temporal modification functions to information representat...

In order to understand the effect of online reviews on consumer purchase behavior, more than 400 Taobao shops’ online reviews are collected. Based on S-O-R model (Stimulus-Organism-Response Model), this paper studies the influence on consumer purchase behavior according to online reviews of experience goods from a new perspective of consumer learning. Using SPSS 19.0 software for data analysis ...