A TOPIC-BASED and DISTRIBUTED SEARCH ENGINE FOR BUSINESS INTELLIGENCE
Site-based search engines are always the bases for most web-based business intelligences. Specific business applications need specific search engines. The paper introduces a specifically designed search engine-ToSE(Topic-oriented Search Engine) to achieve business intelligence for the applications of comparative shopping and intelligent negotiation.With the development of electronic commerce websites,a tremendous amount of merchandise information has been published on Internet. Price plays a very important role for e-business decision-making. Starting from a few of classified candidate e-business sites, ToSE collects price pages and parses price information. Full-text price contexts are then analyzed and transformed into structured data to support decision-making. Because price information on Internet is changeful, ToSE must complete one updating cycle within an acceptable period. An URL spanning tree algorithm is proposed to speed up traversing the hyperlink graph of websites. And a price-sensitive PageRank algorithm is proposed to score the most valuable and believable price information.
Topic-oriented Search Engine URL Spanning Tree Algorithm PageRank Algorithm
Yulian Fei Anding Zhu Guangmin Wang
College of Computer & Information Engineering, Zhejiang Gongshang University No.149 Jiaogong Rd.Hangzhou, Zhejiang, China 310035
国际会议
杭州
英文
913-917
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）