This paper presents a novel task-oriented approach for the evaluation of automatic text summarisation systems. Evaluation of systems has traditionally been a troublesome area in su...
Paul McLellan, Anastasios Tombros, Joemon M. Jose,...
We present a comprehensive model for quantitative evaluation and comparison of search engines. The model is based on the LSP method for system evaluation. The basic contribution of...
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Search engines are powerful tools to find information on the Web. However, they commonly return a lot of irrelevant documents when the users’ queries are not specific enough. To...