Comparisons of MMR, Clustering and Perfect Link Graph Summarization Methods

MMR, 클러스터링, 완전연결기법을 이용한 요약방법 비교

We present a web document summarizer, simpler more condense than the existing ones, of a search engine. This summarizer generates summaries with a statistic-based summarization method using Clustering or MMR technique to reduce redundancy in the results, and that generates summaries using Perfect Link Graph. We compare the results with the summaries generated by human subjects. For the comparison, we use FScore. Our experimental results verify the accuracy of the summarization methods.