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Performance evaluation is an important issue in Web search engine researches. Traditional evaluation methods rely on much human efforts and are therefore quite time-consuming. With click-through data analysis, we proposed an automatic search engine performance evaluation method. This method generates navigational type query topics and answers automatically(More)
We participate in document search and expert search of Enterprise Track in TREC2007. The motive behind the TREC Enterprise Track is to study the issues searching the documents and experts inside an enterprise environment, which has not been sufficiently addressed in research. In document search, we focus on the key overview page pre-selection methods and(More)
This paper addresses the issue of researcher profiling. By researcher profiling, we mean building a semantic profile for an academic researcher, by identifying and annotating information from the Web. Previously, person profile annotation was often undertaken separately in an ad-hoc fashion. This paper first gives a formalization of the entire problem and(More)
IR group of Tsinghua University participated in the expert finding task of TREC2005 enterprise track this year. We developed a novel method which is called document reorganization to solve the problem of locating expert for certain query topics. This method collects and combines related information from different media formats to organize a document which(More)
Searching an organization's document repositories for experts is a frequently faced problem in intranet information management. This paper proposes a candidate-centered model which is referred as Candidate Description Document (CDD)-based retrieval model. The expertise evidence about an expert candidate scattered over repositories is mined and aggregated(More)
While Ajax-based programming enables faster performance and higher interface quality over pure server-side programming, it is demanding and error prone as each action that partially updates the page requires custom, ad-hoc code. The problem is exacerbated by distributed programming between the browser and server, where the developer uses JavaScript to(More)
Implementing even a conceptually simple web application requires an inordinate amount of time. FORWARD addresses three problems that reduce developer productivity: (a) Impedance mismatch across the multiple languages used at different tiers of the application architecture. (b) Distributed data access across the multiple data sources of the application (user(More)
While Ajax programming and the plethora of JavaScript component libraries enable high-quality UIs in web applications , integrating them with page data is laborious and error-prone as a developer has to handcode incremental modifications with trigger-based programming and manual coordination of data dependencies. The FORWARD web framework simplifies the(More)