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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)

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)

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)

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)

Terrier Team at SIGIR 2010 in Geneva

SIGIR 2010 has just started in Geneva. From the TerrierTeam, Richard and myself are attending.On Monday, Richard presented his PhD topic, Leveraging User-generated Content for News Search at the doctoral consortium.Later, at the Web Ngram workshop, I’l… → Read More: Terrier Team at SIGIR 2010 in Geneva

Terrier Team at SIGIR 2010 in Geneva

SIGIR 2010 has just started in Geneva. From the TerrierTeam, Richard and myself are attending.On Monday, Richard presented his PhD topic, Leveraging User-generated Content for News Search at the doctoral consortium.Later, at the Web Ngram workshop, I’l… → Read More: Terrier Team at SIGIR 2010 in Geneva

Terrier Team at SIGIR 2010 in Geneva

SIGIR 2010 has just started in Geneva. From the TerrierTeam, Richard and myself are attending.On Monday, Richard presented his PhD topic, Leveraging User-generated Content for News Search at the doctoral consortium.Later, at the Web Ngram workshop, I’l… → Read More: Terrier Team at SIGIR 2010 in Geneva

Terrier 3.0 released

Firstly, we have a new website for Terrier: http://terrier.orgAlso, we have just released Terrier 3.0!This is a major update to Terrier, including:support for indexing WARC collections (such as ClueWeb09)improved MapReduce mode indexingimproved and mor… → Read More: Terrier 3.0 released

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