Craig’s Dissertation on People Search

March 5, 2009
48 Views

Craig McDonald (now Dr. Craig McDonald!) just announced that his thesis, The Voting Model for People Search, is available online.

Here is a teaser from the abstract:

The thesis investigates how persons in an enterprise organisation can be ranked in response to a query, so that those persons with relevant expertise to the query topic are ranked first. The expertise areas of the persons are represented by documentary evidence of expertise, known as candidate profiles. The statement of this research work is that the expert search task in an enterprise setting can be successfully and effectively modelled using a voting paradigm. In the so-called Voting Model, when a document is retrieved for a query, this document represents a vote for every expert associated with the document to have relevant expertise to the query topic. This voting paradigm is manifested by the proposition of various voting techniques that aggregate the votes from documents to candidate experts. Moreover, the research work demonstrates that these voting techniques can be modelled in terms of a Bayesian belief network, providing probabilistic semantics for the proposed voting paradigm.

Craig McDonald (now Dr. Craig McDonald!) just announced that his thesis, The Voting Model for People Search, is available online.

Here is a teaser from the abstract:

The thesis investigates how persons in an enterprise organisation can be ranked in response to a query, so that those persons with relevant expertise to the query topic are ranked first. The expertise areas of the persons are represented by documentary evidence of expertise, known as candidate profiles. The statement of this research work is that the expert search task in an enterprise setting can be successfully and effectively modelled using a voting paradigm. In the so-called Voting Model, when a document is retrieved for a query, this document represents a vote for every expert associated with the document to have relevant expertise to the query topic. This voting paradigm is manifested by the proposition of various voting techniques that aggregate the votes from documents to candidate experts. Moreover, the research work demonstrates that these voting techniques can be modelled in terms of a Bayesian belief network, providing probabilistic semantics for the proposed voting paradigm.

Link to original post

You may be interested

How SAP Hana is Driving Big Data Startups
Big Data
298 shares3,176 views
Big Data
298 shares3,176 views

How SAP Hana is Driving Big Data Startups

Ryan Kh - July 20, 2017

The first version of SAP Hana was released in 2010, before Hadoop and other big data extraction tools were introduced.…

Data Erasing Software vs Physical Destruction: Sustainable Way of Data Deletion
Data Management
147 views
Data Management
147 views

Data Erasing Software vs Physical Destruction: Sustainable Way of Data Deletion

Manish Bhickta - July 20, 2017

Physical Data destruction techniques are efficient enough to destroy data, but they can never be considered eco-friendly. On the other…

10 Simple Rules for Creating a Good Data Management Plan
Data Management
69 shares747 views
Data Management
69 shares747 views

10 Simple Rules for Creating a Good Data Management Plan

GloriaKopp - July 20, 2017

Part of business planning is arranging how data will be used in the development of a project. This is why…