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Learning to Rank Research Using Terrier – The Role of Features (Part 2)

This is the second post in a two-part series addressing our recent research in learning to rank. While the previous blog post addressed the role of the sample within learning to rank, and its impact on effectiveness and efficiency, in this blog post, I… → Read More: Learning to Rank Research Using Terrier – The Role of Features (Part 2)

QUALINET Multimedia Databases

Article from http://multimediacommunication.blogspot.gr/ A key for current and future developments in Quality of Experience resides in a rich and internationally recognized database of content of different sorts, and to share such a database with the s… → Read More: QUALINET Multimedia Databases

Explicit web search result diversification

A couple of weeks ago I successfully defended my PhD thesis at the School of Computing Science of the University of Glasgow. The thesis, entitled “Explicit web search result diversification”, was unconditionally approved with no corrections b… → Read More: Explicit web search result diversification

“There’s no bad data, only bad uses of data”

Article from http://www.nytimes.com/2013/03/24/technology/big-data-and-a-renewed-debate-over-privacy.html?smid=tw-share&_r=0 IN the 1960s, mainframe computers posed a significant technological challenge to common notions of privacy. That’s when t… → Read More: “There’s no bad data, only bad uses of data”

Proximity solutions for a new way to interact with mobile devices

→ Read More: Proximity solutions for a new way to interact with mobile devices

Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

This is the first of two blog posts addressing some of our recent research in learning to rank. In particular, in recent years, the information retrieval (IR) field has experienced a paradigm shift in the application of machine learning techniques to a… → Read More: Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

This is the first of two blog posts addressing some of our recent research in learning to rank. In particular, in recent years, the information retrieval (IR) field has experienced a paradigm shift in the application of machine learning techniques to a… → Read More: Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

This is the first of two blog posts addressing some of our recent research in learning to rank. In particular, in recent years, the information retrieval (IR) field has experienced a paradigm shift in the application of machine learning techniques to a… → Read More: Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

This is the first of two blog posts addressing some of our recent research in learning to rank. In particular, in recent years, the information retrieval (IR) field has experienced a paradigm shift in the application of machine learning techniques to a… → Read More: Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)

This is the first of two blog posts addressing some of our recent research in learning to rank. In particular, in recent years, the information retrieval (IR) field has experienced a paradigm shift in the application of machine learning techniques to a… → Read More: Learning to Rank Research using Terrier – The Importance of the Sample (Part 1)