Let's Trust Users It is Their Search

Abstract

Abstract-The current search engine model considers users not trustworthy, so no tools are provided to let them specify what they are looking for or in what context, which severely limits what they are able to achieve. Instead, search engines try to guess that, which is currently done using "implicit feedback".In this paper we propose a "web exploration engine" -a model where users can use the search engine as their tool and explicitly specify the context of their search. Information about the web has been pre-classified in a large number of categories; users can explore this hierarchy by providing relevance feedback or search within a particular category. Search is truly "local" in the sense that keyword relevance is not global, but specific to that category. In contrast to the existing search engines, users can explore the web without any keywords, guiding the exploration engine with relevance feedback alone.

Towards Real Intelligent Web Exploration

“…As opposed to the traditional model, our system [9] uses a web spider to obtain its data. The spider is semi-automated: it does not follow all links automatically but is guided by a human editor (URLs have to be approved before being downloaded).…”