Conference paperTraditionally, relevance assessments for expert search have been gathered through self-assessment or based on the opinions of co-workers. We introduce three benchmark datasets1 for expert search that use conference workshops for relevance assessment. Our data sets cover entire research domains as opposed to single institutions. In addition, they provide a larger number of topic-person associations and allow a more objective and fine-grained evaluation of expertise than existing data sets do. We present and discuss baseline results for a language modelling and a topic-centric approach to expert search. We find that the topic-centric approach achieves the best results on domain-specific datasets.EU Grant No. 258191 (PROMISE p...
Generative models such as statistical language modeling have been widely studied in the task of expe...
The automatic search for knowledgeable people in the scope of an organization is a key function whic...
While many ExpertFinder applications succeed in finding experts, their techniques are not always des...
Traditionally, relevance assessments for expert search have been gathered through self-assessment or...
Traditionally, relevance assessments for expert search have been gathered through self-assessment or...
Expertise retrieval has been largely unexplored on data other than the W3C collection. At the same t...
People have looked for experts since before the advent of computers. With advances in information re...
In this age of pervasive internet access we have become accustomed to rely on web search for our mo...
Expert finding has been addressed from multiple viewpoints, including expertise seeking and expert r...
In an Enterprise setting, an expert search system can assist users with their “expertise need” by su...
Abstract. In this paper we present our approach for expertise mining, addressing several research pr...
International audienceExpertise is a loosely defined concept that is hard to formalize. Much researc...
With the enormous growth of data, retrieving information from the Web became more desirable and even...
Abstract. In Enterprise settings, expert search is considered an important task. In this search task...
Statistical language models have been successfully applied to many information retrieval tasks, incl...
Generative models such as statistical language modeling have been widely studied in the task of expe...
The automatic search for knowledgeable people in the scope of an organization is a key function whic...
While many ExpertFinder applications succeed in finding experts, their techniques are not always des...
Traditionally, relevance assessments for expert search have been gathered through self-assessment or...
Traditionally, relevance assessments for expert search have been gathered through self-assessment or...
Expertise retrieval has been largely unexplored on data other than the W3C collection. At the same t...
People have looked for experts since before the advent of computers. With advances in information re...
In this age of pervasive internet access we have become accustomed to rely on web search for our mo...
Expert finding has been addressed from multiple viewpoints, including expertise seeking and expert r...
In an Enterprise setting, an expert search system can assist users with their “expertise need” by su...
Abstract. In this paper we present our approach for expertise mining, addressing several research pr...
International audienceExpertise is a loosely defined concept that is hard to formalize. Much researc...
With the enormous growth of data, retrieving information from the Web became more desirable and even...
Abstract. In Enterprise settings, expert search is considered an important task. In this search task...
Statistical language models have been successfully applied to many information retrieval tasks, incl...
Generative models such as statistical language modeling have been widely studied in the task of expe...
The automatic search for knowledgeable people in the scope of an organization is a key function whic...
While many ExpertFinder applications succeed in finding experts, their techniques are not always des...