[expertfinder-dev] Contributions from the Information Retrieval field

paola.dimaio at gmail.com paola.dimaio at gmail.com
Tue Nov 20 11:29:47 GMT 2007


Gianluca
great to meet you
and thanks for the links below
would you  (and others) be able to post an entry with link in the wiki
for future reference?
I will go back to the wiki page when I have to take the next step and
review all available approaches to date - thanks!
PDM


On Nov 19, 2007 9:33 PM, Gianluca Demartini <demartini at l3s.de> wrote:
> Hi all,
>
> FYI, a lot of systems and formal models have been proposed in the IR
> field so far.
> Please find attached herewith a brief overview of the current
> approaches: it does not consider the formal models proposed in the IR
> community; if you are interested I can point you to some other works.
>
> Bests,
> Gianluca
>
> --
> Gianluca Demartini, MSc
> PhD Student at L3S Research Center
> Leibniz Universität Hannover
>
> Room 240, 2nd floor, Appelstr. 4, DE-30167 Hannover, Germany
> Phone: +49 (0)511 762 17756
> Fax: +49 (0)511 762 17779
> Mobile: +39 349 5119466
> http://www.l3s.de/~demartini
>
>
> \section{Related Work}\label{sec:relwork}
>         %ES systems
>         The topic of Expert Search (ES) is a relatively new one but
>         already several systems have been proposed. The systems proposed
>         in the past use several information and features like
>         Social Network information;
>         co-occurrences of terms and
>         changes in the competencies of the people;
>         rule-based models and FOAF\footnote{http://www.foaf-project.org/}
>         data; and using post on Web Forums \cite{www07}.
>         One of the first approaches is the
>         Enterprise PeopleFinder \cite{mclean2003epc}
>         also known as P at noptic Expert \cite{craswell2001pan}.
>         This system first builds a candidate profile
>         attaching all documents related to her/him,
>         giving
>         different weights to the documents based on their
>         type (e.g. an homepage is more important than other
>         web pages), in
>         one big document which represents the candidate.
>         The problem of this systems is that it can only consider
>         the terms of the documents as topics of expertise and
>         that the candidate name matching (i.e. the name appears
>         into the document or not) and the relationship
>         between candidate and documents is only binary (i.e.
>         a document is related to the candidate or it is not).
>
>         A common idea in the community of ES is that two different
>         approaches are possible: \emph{Expert finding} and
>         \emph{Expert profiling} \cite{balo:sear06}. The main idea is that the former
>         approach aims at retrieving first the documents relevant
>         to the query and  extract the experts from them. The latter
>         approach first builds a profile for each candidate and then
>         match the query with the profiles without considering the documents
>         anymore \cite{balog2007det}.
>         %ES models
>         Some steps in
>         the direction of defining formal models for ES have been made and models based on
>         probability and language models \cite{Azzopardi2006, balog2006fme,
>         balog2006fea} have been proposed and are widely used \cite{trec2006}.
>         Another work which proposes a model for ES
>         \cite{macdonald2006vot}  considers the ES task
>         as a voting problem. In this model the documents associated
>         with the candidate are viewed as votes for the candidate expertise.
>         In this approach they use the Retrieval
>         Status Value of the documents  but the problem is that
>         the relationship between candidates and documents is not
>         weighted and a document can only be related to a candidate
>         or not.
>
>
>
>
>
> @inproceedings{craswell2001pan,
>         title={{P at noptic Expert: Searching for Experts not just for Documents}},
>         author={Craswell, N. and Hawking, D. and Vercoustre, A. and Wilkins, P.},
>         booktitle={Ausweb, 2001},
>         year={2001},
>         url = "http://es.ciro.au/pubs/craswell_ausweb01.pdf"
> }
> @Article{trec2006,
>         author = {},
>         title = {The Fifteenth Text REtrieval Conference(TREC 2006) Proceedings},
>         year  ={2006},
>         journal = {NIST Special Publication: SP 500-266}
> }
>
> @article{mclean2003epc,
>   title={{Enterprise PeopleFinder: Combining Evidence from Web Pages and Corporate Data}},
>   author={McLean, A. and Vercoustre, A.M. and Wu, M.},
>   journal={Proc. Australian Document Computing Symposium},
>   year={2003}
> }
>
> @inProceedings{balo:sear06,
>    author =    {K. Balog and de Rijke, M.},
>    title =     {Searching for People in the Personal Work Space},
>    booktitle = {International Workshop on Intelligent Information Access (IIIA-2006)},
>    year =      2006,
> }
>
> @inproceedings{Azzopardi2006,
>         title = {Language Modeling Approaches for Enterprise Tasks},
>         author = {Azzopardi, L. and Balog, K. and  de Rijke, M.},
>         booktitle = {The Fourteenth Text Retrieval Conference (TREC 2005)}
>
> }
> @article{balog2006fme,
>   title={{Formal models for expert finding in enterprise corpora}},
>   author={Balog, K. and Azzopardi, L. and de Rijke, M.},
>   journal={Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval},
>   pages={43--50},
>   year={2006},
>   publisher={ACM Press New York, NY, USA}
> }
>
> @article{balog2006fea,
>   title={{Finding experts and their Details in e-mail corpora}},
>   author={Balog, K. and de Rijke, M.},
>   journal={Proceedings of the 15th international conference on World Wide Web},
>   pages={1035--1036},
>   year={2006},
>   publisher={ACM Press New York, NY, USA}
> }
>
> @article{balog2007det,
>   title={{Determining Expert Profiles (With an Application to Expert Finding)}},
>   author={Balog, K. and de Rijke, M.},
>   journal={Proceedings of IJCAI-2007},
>   year={2007}
> }
>
> @article{macdonald2006vot,
>   title={{Voting for Candidates: Adapting Data Fusion Techniques for an Expert Search Task}},
>   author={Macdonald, C. and Ounis, I.},
>   journal={Proceedings of the ACM Conference on Information and Knowledge Management (CIKM) 2006},
>
>   year={2006}
>
> }
>
> @article{www07,
>   title={Expertise Networks in Online Communities: Structure and Algorithms},
>   author={Jun Zhang, Mark Ackerman, and Lada Adamic}
>   journal={WWW2007}
>   year={2007}
> }
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-- 
Paola Di Maio
School of IT
www.mfu.ac.th
*********************************************


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