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has been cited by the following article:

• TITLE: Searching Experience Sharing Based on Ant Colony Model

  AUTHORS: Jung-Sing Jwo, Chung-Ren Nian

  KEYWORDS: Ant Colony; Internet Search; Pheromone; Search Experience; Search-Trails

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.9, September 14, 2012

  ABSTRACT: Search engine is an important tool to all the Internet users. It helps users finding useful contents in the cyberspace. However, searching experiences among different users are difficult to be shared and accumulated. In this paper, a concept called search-trail is proposed. Based on ant colony model, search-trails are created from the searching steps to the target contents. The search-trails built from various users are very similar to the trails generated in an ant colony. The simulations of the proposed solution demonstrate that even in the case of few searching experienced users, the generated search-trails still possess 96.29% similarity to the expected ones in 60 days. It shows that the concept of search-trails can really help users accumulating, sharing and reusing their search experiences.