Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval. We developed two prediction alg...
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow...
We have developed a distributed search engine, Cooperative Search Engine (CSE) to retrieve fresh information. In CSE, a local search engine located in each web server makes an ind...
We present a simulation model used to evaluate a distributed search engine by modelling its performance. The model is designed to aid performance-driven evolution of the system. W...
Thomas Phelan, Ahmed Patel, Seamus O. Ciardhu&aacu...
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search results list returned from a search engine. In this paper we present...
Several initiatives for establishing standards for metadata models are being carried out at the moment, but everyone focuses on their own requirements when defining metadata attri...
The continuous development of the Internet has resulted in an exponential increase in the amount of available information. A popular way to access this information is by submittin...
CiteSeer and Google-Scholar are huge digital libraries which provide access to (computer-)science publications. Both collections are operated like specialized search engines, they ...
This paper describes one of the ways how to overcome one of the major limitations of current fulltext search engines. It deals with synonymy of the web search engine results by clu...
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...
In the current information age, the dominant method for information search is by providing few keywords to a search engine. Keyword search is currently one of the most important o...