A significant problem of the dominant web search model is the lack of a realistic way to acquire user search context. Search engines use implicit feedback, which is extremely sparse and does not allow users to properly define what they… Read all
Research's archives
Towards Real Intelligent Web Exploration
Posted by pavka on Tuesday, January 24th 2012
Topics: Research Tags: adaptive ranking, DMOZ, floating query, relevance feedback, Rocchio, web Directory, web exploration engine
Towards Real Intelligent Web Exploration
Posted by pavka on Tuesday, May 24th 2011
Topics: Research Tags: adaptive ranking, DMOZ, floating query, relevance feedback, Rocchio, web Directory
A significant problem of the dominant web search model is the lack of a realistic way to acquire user search context. Search engines use implicit feedback, which is extremely sparse and does not allow users to properly define what they… Read all
Let’s Trust Users – It Is Their Search
Posted by pavka on Tuesday, July 20th 2010
Topics: Research Tags: DMOZ, exploration engine, Intelligent Web Exploration, Rocchio relevance feedback, text classification, Yahoo! Directory
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… Read all
Building a Dynamic Classifier for Large Text Data Collections
Posted by pavka on Tuesday, July 20th 2010
Topics: Research Tags: DMOZ, Intelligent Web Exploration, Multinomial Naive Bayes, SPDA, Stochastic Prior Distribution Adjustment, text classification
Due to the lack of in-built tools to navigate the web, people have to use external solutions to find information. The most popular of these are search engines and web directories. Search engines allow users to locate specific information about… Read all
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