Tomorrow I am going to present a paper with the approach of data analytics at the statistical challenges in e-commerce research (SCECR) in Montreal. This paper deals with using online product reviews to categorize products to experience good and search goods.
A copy of the paper can be found here, if you are interested.
I’ve also been serving as an external consultant for www.ookong.com for their business strategies. It is an interesting website, maybe useful for your online shopping at Amazon.com!
Ookong provides users with a detailed monitoring tool for Amazon purchases. Users can select an item on Amazon and watch it through Ookong. Ookong provides the user with price history so they can see the highest and lowest prices for that item. The user can also set up notifications that will alert them when the Amazon price goes down. Easy to read graphs depict Amazon’s pricing as well as the prices found for the same item on third party websites. The Ookong homepage includes a list of the most popular items with a thumbnail of their price graph and link to the item’s page for more in depth information. Ookong users can also install the application’s browser add on for Firefox, Google Chrome, Safari and Opera browsers.
Ookong was founded in June of 2009 by Jay Wang and Wenbin Ye. The team is currently based out of Garland, Texas and includes President Connie Xu. The application was created as a social shopping service that enabled users to follow a product to see how its price fluctuates. Today, Ookong is equipped with many valuable tools that help users monitor products and see what their friends are watching as well.
For the last year, I’ve been working on a paper with Dr. Pei-yu Chen at Temple, and Dr. Lorin Hitt at UPenn about using online product reviews on Amazon.com, yelp.com and other websites, to design a mechanism to classify products.
This paper’s approach is similar to data analytics of firms, albeit for research purpose. If interested you can take a look at the current version. Comments and ideas welcome.
For the past couple of years, I’ve been consulting this company: www.freelancer.com, to help them use firm generated big data to refine their feedback systems.
Freelancer.com is one of the largest firm that provides a marketplace for services (especially IT services) outsourcing. Current CEO of the company is Matthew Barrie.
My two working papers on consumer welfare and pricing strategy related to this firm can be downloaded here:
We are presenting this big data project on May 21st at Temple Big Data Symposium, you are welcome to the symposium if interested.
Temple “Big Data” Symposium
Monday, May 21, 2012, 12-6pm – Shusterman Hall, Liacouras Walk
12:45pm Opening Remarks
1:00pm Session 1: Practical Applications and Best Practices with Big Data
Youngjin Yoo, Robert Kulathinal, Sunil Wattal: “Designing 21st Century Organizations”
Munir Mandviwalla, David Schuff, Sunil Wattal: “The Campaign Media Ecosystem”
Yili Hong, Paul A. Pavlou: “Big Data in Online Markets for Outsourcing of IT Services”
2:00pm Session 2: Statistical Solutions for Big Data
Sanat Sarkar and Nicolle Clements: “High-dimensional Multiple Testing”
Neeraj Bharadwaj and Yuexiao Dong: “In Search of What Counts in Big Datasets”
2:45pm Coffee Break
3:15pm Session 3: Technical Solutions for Big Data
Jie Wu and Chiu C. Tan: “CIS Big Data Research”
Alexander Yates: “Data Mining and Information Retrieval with Web Data”
4:00pm Panel: “Emerging Opportunities and Challenges of Big Data”
Pallavi Chitturi (Center of Statistical Analysis, Statistics Department)
Jennifer Gordon (Department of Neuroscience, School of Medicine)
Keith Latham and Carmen Sapienza (Fels Institute for Cancer Research)
5:00pm Networking Reception
The symposium is sponsored by the Institute for Business & Information Technology (IBIT) housed at the Fox School of Business.