User Recommendation Based on Semantic Pattern
With the development of Search Engine, more and more people obtain information and materials easily. However, it is not convenient and quick to get information because we have to spend much time to find what we need in many relevant web pages. It is more difficult to deal with the video information, but there is vast video information in the internet because of more and more people have become video creators. Therefore, the problem of how to recommend users relevant information has attracted many researchers’ attention. Recommendation technology has developed quickly in the recent years. In this paper, we set up a video search engine with the open source project “Lucene, propose a semantic recommendation method and combine the search engine with the semantic recommendation technology. We do experiments to verify our method and analyze its shortcomings. From the experiments, we can see that the approach introduced in this paper can reach a better level than the traditional search engine. Both keywords and sentences can be processed by the system because the system understands them.
component Search Engine Recommendation technology Lucene
Fangfang Li Quan Qi Yue Chen
School of Computer Science andTechnologyBeijing Institute of TechnologyBeijing, China School of Computer Science and Technology Beijing Institute of Technology Beijing, China
国际会议
哈尔滨
英文
272-275
2011-01-18（万方平台首次上网日期，不代表论文的发表时间）