Testing Models of Consumer Search Using Data on Web Browsing and Purchasing Behavior

Testing Models of Consumer Search using Data on Web Browsing and Purchasing Behavior

Using a large data set on web browsing and purchasing behavior we test to what extent consumers are searching in accordance to various classical search models. We find that the benchmark model of sequential search with a known distributions of prices can be rejected based on the recall patterns we observe in the data. Moreover, we show that even if consumers are initially unaware of the price d...

Using Learned Browsing Behavior Models to Recommend Relevant Web Pages

We introduce our research on learning browsing behavior models for inferring a user’s information need (corresponding to a set of words) based on the actions he has taken during his current web session. This information is then used to find relevant pages, from essentially anywhere on the web. The models, learned from over one hundred users during a fiveweek user study, are session-specific but...

Predicting consumer behavior with Web search.

Recent work has demonstrated that Web search volume can "predict the present," meaning that it can be used to accurately track outcomes such as unemployment levels, auto and home sales, and disease prevalence in near real time. Here we show that what consumers are searching for online can also predict their collective future behavior days or even weeks in advance. Specifically we use search que...

Consumer Behavior Theories – Purchasing Organic Food

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Forecasting Purchasing Behavior Using Fmri Data