Collaborative residential rental web application | |
| Author | Chayawit Wonganusorn |
| Call Number | AIT RSPR no.CS-17-11 |
| Subject(s) | Web services Semantic Web Linked data ntelligent agents (Computer software) |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. CS-17-11 |
| Abstract | Most information from residential rental Web applications does not have enough detailed information, coverage, or maintenance. In this research study, I explore the hypothesis that residential rental Web applications are more useful when most content is user-generated content from consumers. I refer to residential rental Web applications for which the main content is user-generated by consumers as Collaborative Residential Rental Web Applications. I demonstrate the design, implementation, and empirical evaluation of a Collaborative Residential Rental Web Application. In the literature review, I find that user-generated content could improve users’ experience, but governance is also important to maintain the quality of information when content is user-generated. I took these findings into account when I designed the prototype Collaborative Residential Rental Web Application by making user-generated content the main content source and using a virtual point system to ensure that content quality can be maintained. In an evaluation, I asked users who have apartmentchoosing experience and familiarity with the Internet and mobile applications to test the prototype application and a traditional non-collaborative counterpart From the experimental results, I find that collaborative residential rental Web applications have a great deal of potential to be more useful than the non-collaborative counterparts. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. CS-17-11 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Dailey, Matthew N.; |
| Examination Committee(s) | Phan Minh Dung;Vatcharaporn Esichaikul; |
| Scholarship Donor(s) | Royal Thai Government;Asian Institute of Technology Fellowship |
| Degree | Research Studies Project Report (M. Sc.) - Asian Institute of Technology, 2017 |