BUSINESS ENTITY SEARCH AGGREGATOR (BESA): WEB ACCESS PATTERNS FOR SUPPLY AND DEMAND CHAIN
| dc.contributor.author | SEE, KHOO LEAN | |
| dc.date.accessioned | 2016-01-14T06:13:19Z | |
| dc.date.available | 2016-01-14T06:13:19Z | |
| dc.date.issued | 2010-12 | |
| dc.description.abstract | The importance of search engines becomes more critical as more business entities create a presence on the Web. Aiming to improve the relevancy of the search results, BESA Sdn. Bhd., an upcoming startup company is researching and designing an aggregator that returns related business entities by product type and recommends a possible supply and demand chain for the product type concerned. This provides the users with a possible community of the suppliers and customers which may lead to a better visualization of the potential business opportunities available. The targeted users are the SMEs in Penang initially, and gradually the SMEs in Malaysia. To increase the user awareness of this new aggregator, the company ·Will leverage on the power of internet advertising, viral marketing and traditional advertising. ; The main revenue of BE_S~ comes from advertisements placed by various business entities on the aggregator. BESA will only start to generate a profit of RM85,495 during the second year, with a better prospect of a total profit ofRM573,285, at the end ofthe third year. The objective of this research is to present a possible method to establish the relationship between a product type and its supply and demand chain. A case study based on the simulated data of possible web access patterns by users has been examined to establish the possible supply and demand chain relationship for the LED industry. Part of the research methodology requires the data collection and preprocessing of the server logs to obtain individual user web access patterns. Web content mining is then applied to the web access patterns to extract the frequent keywords. The frequent keywords exhibiting similar characieristics will be clustered before applying the association rules based on the Apriori algorithm to discover the relationship between the keywords to form the frequent itemsets. The xiv frequent itemsets are then analyzed and assigned to a product type for establishing a possible supply and demand chain relationship. The proposed method has been designed and evaluated using simulated user web access patterns and by comparing it to the suppliers' and buyers' features in Alibaba.com, a direct competitor of BESA. The results showed promising improvements, with BESA having a simpler user interface and is able to recommend the supply and demand chain to the users without the need to search for the chain separately. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1573 | |
| dc.subject | BUSINESS ENTITY SEARCH AGGREGATOR (BESA) | en_US |
| dc.title | BUSINESS ENTITY SEARCH AGGREGATOR (BESA): WEB ACCESS PATTERNS FOR SUPPLY AND DEMAND CHAIN | en_US |
| dc.type | Thesis | en_US |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: