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Abstract:
This paper introduces an agent, Let/z/a, which operates in tandem with a conventional Web browser such as Mosaic or Netscape. The agent tracks the user’s browsing behavior -- following links, initiating searches, requests for help -- and tries to anticipate what items may be of interest to the user. It uses a simple set of heuristics to model what the user’s browsing behavior might be. Upon request, it can display a page containing its current recommendations, which the user can choose either to follow or to return to the conventional browsing activity.