A Study of Web Page Recommendation System Based on Query of Keywords

• Main Authors: Bing-Huang Yan, 楊秉桓
• Other Authors: Yuh-Jiuan Tsay
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/91031840748713902004

碩士 === 國立屏東科技大學 === 資訊管理系所 === 95 === Search engine is a necessary web service for Internet users. It will improve website performance if manager of website can analyze users' information from search engine. However, it's a troublesome work to get users' information from search engine. The first reason is Website log are huge data that hard to analyze and the second is record from search engine will be understand unless analyze and decode the data. We provide a full analysis progress, and implement a recommending webpage system by query of keywords. To create a recommending webpage system by query of keywords for helping manager of website and users to get the information what they want. First, we catch a website log data from a website with a specialized theme. Second, we analyze users' query keywords from search engine and mining browsing paths by association rule. And finally, we set up a web page recommendation system. This research takes a golf on-line information plate form as an example. We model a web site to provide recommendation web pages and keywords for users who come from searching engine. Finally, we take popular and rare keywords as an instance to analyze the correction of this result. It appeals that there is high correlation between the keywords which users query and the web pages which they are interested. Therefore, it is possible to enhance the performance of web sites as we can gather this information from searching engine, and then comprehends users’ targets.