1 research outputs found
A Search Relevancy Tuning Method Using Expert Results Content Evaluation
The article presents an online relevancy tuning method using explicit user
feedback. The author developed and tested a method of words' weights
modification based on search result evaluation by user. User decides whether
the result is useful or not after inspecting the full result content. The
experiment proved that the constantly accumulated words weights base leads to
better search quality in a specified data domain. The author also suggested
future improvements of the method.Comment: 10 pages, 2 figure