With the popularity of Internet and e-commerce, the number of shopping websites has rapidly increased on the Internet, and this enables people to shop easily through the Internet. Consumers spend a lot of time searching commodity, because they need to filter and compare search results data by themselves. In recent years, there is a growing parity websites helping consumers to buy cheaper commodity. Although these websites can help consumers get the parity price of commodities, the search results are not so ideal.
Because these websites may occur problems about the difference commodity between search results and consumers want to search, or the difference commodity price between search results and commodity web page. Therefore, this study attempts to use semantic analysis, ontology, and web mining technique as a basic approach. This study proposes a novel commodity search system to track consumer demand.When the commodity price of any website is lower than the consumer price conditions, the system will proactively notify consumers. This study results indicate that the novel commodity search system could assist consumers to search commodity, and provide historical price information of commodity for consumers to decide.
Web mining is used to search the right information from the Web to meet user information needs. Acquiring correct user profiles is difficult, since users may be unsure of their interests and may not wish to invest a great deal of effort in creating such a profile. Our aim is to present a foundation for representations of user profiles on ontology for designing efficient Web mining models. In this paper, we assume the user concept can be constructed from some primary ones; hence, we use “part-of” relation to describe the relationship between classes. We also present set-valued relevance functions on such ontology to unravel the relationships between facts and the existing classes. A numerical interpretation is also presented for the set-valued relation functions.
- Pentium 4 or AMD or Celeron Processor
- RAM 512 MB or above
- HARD DISK 500GB
2.2 SOFTWARE SPECIFICATION
- WAMP – Web Application Server
- VB.Net – Server Side Scripting Language
- MySQL – Database
- Web browser (Firefox, Chrome, Spark)