People have looked for experts since before the advent of computers. With advances in
information retrieval technology and the large-scale availability of digital traces of …

The goal of the enterprise track is to conduct experiments with enterprise data—intranet
pages, email archives, document repositories—that reflect the experiences of users in real …

Statistical language models have been successfully applied to many information retrieval
tasks, including expert finding: the process of identifying experts given a particular topic. In …

A common task in many applications is to find persons who are knowledgeable about a
given topic (ie, expert finding). In this paper, we propose and develop a general probabilistic …

Enterprise corpora contain evidence of what employees work on and therefore can be used
to automatically find experts on a given topic. We present a general approach for …

In this thesis we consider users' attempts to express their information needs through queries,
or search requests and try to predict whether those requests will be of high or low quality …

Generative models such as statistical language modeling have been widely studied in the
task of expert search to model the relationship between experts and their expertise indicated …

Recently, we have witnessed entity profiling (EP) becoming increasingly one of the most
important topics in information extraction, personalized applications, and web data analysis …

The large increase in recent years in the amount of information available online has led to a
renewed interest in a broad range of IR-related areas that go beyond standard document …

The goal of the enterprise track is to conduct experiments with enterprise data that reflect the
experiences of users in real organizations. This year, we continued with the CERC collection …