Nick Craswell

Publications221
h-index55
Citations10,920
Highly Influential Citations985
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An experimental comparison of click position-bias models
TLDR
A cascade model, where users view results from top to bottom and leave as soon as they see a worthwhile document, is the best explanation for position bias in early ranks. Expand
Random walks on the click graph
TLDR
A Markov random walk model is applied to a large click log, producing a probabilistic ranking of documents for a given query, demonstrating its ability to retrieve relevant documents that have not yet been clicked for that query and rank those effectively. Expand
Overview of the TREC 2009 Web Track
TLDR
An overview of the TREC 2009 Web Track is provided, including topic development, evaluation measures, and results, including both a traditional ad hoc retrieval task and a new diversity task. Expand
Learning to Match using Local and Distributed Representations of Text for Web Search
TLDR
This work proposes a novel document ranking model composed of two separate deep neural networks, one that matches the query and the document using a local representation, and another that Matching with distributed representations complements matching with traditional local representations. Expand
Mean Reciprocal Rank
  • Nick Craswell
  • Mathematics, Computer Science
  • Encyclopedia of Database Systems
  • 2009
Overview of the TREC 2005 Enterprise Track
TLDR
The goal of the enterprise track is to conduct experiments with enterprise data that reflect the experiences of users in real organisations, such that for example, an email ranking technique that is effective here would be a good choice for deployment in a real multi-user email search application. Expand
Overview of the TREC 2020 Deep Learning Track
The Deep Learning Track is a new track for TREC 2019, with the goal of studying ad hoc ranking in a large data regime. It is the first track with large human-labeled training sets, introducing two… Expand
A Theoretical Framework for Conversational Search
TLDR
This paper studies conversational approaches to information retrieval, presenting a theory and model of information interaction in a chat setting, and shows that while theoretical, the model could be practically implemented to satisfy the desirable properties presented. Expand
Overview of the TREC-2001 Web track
TREC-2001 saw the falling into abeyance of the Large Web Task but a strengthening and broadening of activities based on the 1.69 million page WTlOg corpus. There were two tasks. The topic relevance… Expand
Overview of the TREC 2003 Web Track
TLDR
Studies conducted by the two participating groups compared a search engine using automatic topic distillation features with the same engine with those features disabled in order to determine whether the automatic topic Distillation features assisted the users in the performance of their tasks and whether humans could achieve better results than the automatic system. Expand
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