Modern expert nding algorithms are developed under the assumption that all possible expertise evidence for a person is concentrated in a company that currently employs the person. The evidence that can be acquired outside of an enterprise is traditionally unnoticed. At the same time, the Web is full of personal information which is sufficiently detailed to judge about a person's skills and knowledge. In this work, we review various sources of expertise evidence out-side of an organization and experiment with rankings built on the data acquired from six dierent sources, accessible through APIs of two major web search engines. We show that these rankings and their combinations are often more realistic and of higher quality than rankings built...
The task of expert finding has been getting increasing attention in information retrieval literature...
We present Wiser, a new search engine for expert finding in academia. Our system is unsupervised and...
With a suitable algorithm for ranking the expertise of a user in a collaborative tagging system, we ...
Modern expert nding algorithms are developed under the assumption that all possible expertise eviden...
This paper describes the details of our participation in expert search task of the TREC 2007 Enterpr...
The automatic search for knowledgeable people in the scope of an organization is a key function whic...
The main source of competitive advantage of an organization is its knowledge assets and its learning...
The automatic search for knowledgeable people in the scope of an organization\ud is a key function w...
This paper describes the details of our participation in expert search task of the TREC 2007 Enterpr...
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of...
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of...
Abstract — Diverse environments have studied expert search viz. educational communities, enterprises...
Contains fulltext : 227795.pdf (publisher's version ) (Closed access)SIGIR 200
In an Enterprise setting, an expert search system can assist users with their “expertise need” by su...
Providing knowledge workers with access to experts and communities-of-practice is central to experti...
The task of expert finding has been getting increasing attention in information retrieval literature...
We present Wiser, a new search engine for expert finding in academia. Our system is unsupervised and...
With a suitable algorithm for ranking the expertise of a user in a collaborative tagging system, we ...
Modern expert nding algorithms are developed under the assumption that all possible expertise eviden...
This paper describes the details of our participation in expert search task of the TREC 2007 Enterpr...
The automatic search for knowledgeable people in the scope of an organization is a key function whic...
The main source of competitive advantage of an organization is its knowledge assets and its learning...
The automatic search for knowledgeable people in the scope of an organization\ud is a key function w...
This paper describes the details of our participation in expert search task of the TREC 2007 Enterpr...
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of...
Expert discovery is a quest in search of finding an answer to a question: “Who is the best expert of...
Abstract — Diverse environments have studied expert search viz. educational communities, enterprises...
Contains fulltext : 227795.pdf (publisher's version ) (Closed access)SIGIR 200
In an Enterprise setting, an expert search system can assist users with their “expertise need” by su...
Providing knowledge workers with access to experts and communities-of-practice is central to experti...
The task of expert finding has been getting increasing attention in information retrieval literature...
We present Wiser, a new search engine for expert finding in academia. Our system is unsupervised and...
With a suitable algorithm for ranking the expertise of a user in a collaborative tagging system, we ...