Predicting supply purchase patterns in data-rich e-marketplace environments | |
| Author | Yongyos Kaewpitakkun |
| Call Number | AIT Thesis no.CS-02-21 |
| Subject(s) | Barter--Forecasting Barter--Data processing |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering. School of Advanced Technologies |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-02-21 |
| Abstract | Barter system is one kind of trade exchange. Through barter, people can get things that they want without paying money. They exchange their products or services instead. With barter, the medium of this commerce is called "trade dollar." People can earn trade dollars when they sell their products or services into the product pool. And they can use their trade dollar to buy any thing in the pool. With the high growing rate of barter business, there are many barter trade exchanges. They can earn commission on every transaction occurred through them. But, surprisingly, there is no complete software for automating the barter process. Most of transactions still made through human broker. This situation make the barter trade exchange can not reach their maximum profits. Therefore, this thesis is concerned with generating the automated potential recommendation for support in barter business. In this thesis, teclmiques from machine learning, such as Bayesian network, and collaborative filtering are integrated to develop a candidate recommendation engine for predicting supply purchase in data-rich e-marketplace environment. We have considered several continuations, grouped into 4 categories: generated the recommendation based on a single company itself, generated the recommendation based on a group of similar company, validation the result, and improvements to the ordering search space for K2. |
| Year | 2002 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. CS-02-21 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Haddawy, Peter |
| Examination Committee(s) | Vilas Wuwongse ;Vatcharaporn Esichaikul |
| Scholarship Donor(s) | Telephone Organization of Thailand |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2002 |