Overview of the TREC 2009 Web Track.

CLA Clarke, N Craswell, I Soboroff - Trec, 2009 - apps.dtic.mil
The TRECWeb Track explores and evaluates Web retrieval technologies. Currently, the Web
Track conducts experiments using the new billion-page ClueWeb09 collection. The TREC …

Measuring vaccination coverage and concerns of vaccine holdouts from web search logs

S Chang, A Fourney, E Horvitz - Nature Communications, 2024 - nature.com
To design effective vaccine policies, policymakers need detailed data about who has been
vaccinated, who is holding out, and why. However, existing data in the US are insufficient …

Large language models for user interest journeys

K Christakopoulou, A Lalama, C Adams, I Qu… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) have shown impressive capabilities in natural language
understanding and generation. Their potential for deeper user understanding and improved …

Search result diversification

RLT Santos, C Macdonald, I Ounis - Foundations and Trends® …, 2015 - nowpublishers.com
Ranking in information retrieval has been traditionally approached as a pursuit of relevant
information, under the assumption that the users' information needs are unambiguously …

[PDF][PDF] Query intent detection using convolutional neural networks

HB Hashemi, A Asiaee, R Kraft - … on web search and data mining …, 2016 - people.cs.pitt.edu
Understanding query intent helps modern search engines to improve search results as well
as to display instant answers to the user. In this work, we introduce an accurate query …

[PDF][PDF] Overview of the TREC 2011 Web Track.

CLA Clarke, N Craswell, I Soboroff, EM Voorhees - TREC, 2011 - trec.nist.gov
If you are an experienced participant, you may not need to read the full report. Apart from the
results themselves (see tables 1, 2, and 3) little has changed from TREC 2011 [6]. A six-point …

Large-scale validation and analysis of interleaved search evaluation

O Chapelle, T Joachims, F Radlinski… - ACM Transactions on …, 2012 - dl.acm.org
Interleaving is an increasingly popular technique for evaluating information retrieval systems
based on implicit user feedback. While a number of isolated studies have analyzed how this …

Modeling and analysis of cross-session search tasks

A Kotov, PN Bennett, RW White, ST Dumais… - Proceedings of the 34th …, 2011 - dl.acm.org
The information needs of search engine users vary in complexity, depending on the task
they are trying to accomplish. Some simple needs can be satisfied with a single query …

Enhancing personalized search by mining and modeling task behavior

RW White, W Chu, A Hassan, X He, Y Song… - Proceedings of the 22nd …, 2013 - dl.acm.org
Personalized search systems tailor search results to the current user intent using historic
search interactions. This relies on being able to find pertinent information in that user's …

Towards a better understanding of query reformulation behavior in web search

J Chen, J Mao, Y Liu, F Zhang, M Zhang… - Proceedings of the web …, 2021 - dl.acm.org
As queries submitted by users directly affect search experiences, how to organize queries
has always been a research focus in Web search studies. While search request becomes …