SBP11 Day 1

I am in University of Maryland, College Park this week for the 2011 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP11) Conference. The Conference is nice to call those attendees without computer science background like me the “domain experts” because we bring our domain knowledge (hospitality management in my case) to the field.

I attended two tutorials on the first day (March 28). I like Dr. Alex “Sandy” Pentland’s mobile sensor project at MIT. His team uses “mobile sensors” or cell phones to collect data about actual human interactions. The data --- “signals” --- can help researchers predict people’s social relationships among groups, organizational structures, participants’ daily routine, and behaviors.

I have to admit that I do not know computer science or Dr. Pentland’s work well. However, I can see an even brighter future of the mobile device market. Have you imagined that you can predict your customers’ purchasing behaviors? How about anticipating customers’ needs without even asking the customers? As a researcher, instead of measuring people’s intentions in a survey, how do you like the idea of collecting and owning the data of people’s real behaviors?

Stay tuned for SBP11 Day 2. Dr. Bei Yu and I co-authored a paper entitled Toward Predicting Popularity of Social Marketing Messages in this conference, which will be presented in Day 3.

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