Towards searching as a learning process: A review of current perspectives and future directions

SY Rieh, K Collins-Thompson… - Journal of …, 2016 - journals.sagepub.com
We critically review literature on the association between searching and learning and
contribute to the formulation of a research agenda for searching as learning. The paper …

Understanding human-machine networks: a cross-disciplinary survey

M Tsvetkova, T Yasseri, ET Meyer… - ACM Computing …, 2017 - dl.acm.org
In the current hyperconnected era, modern Information and Communication Technology
(ICT) systems form sophisticated networks where not only do people interact with other …

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing

T August, LL Wang, J Bragg, MA Hearst… - ACM Transactions on …, 2023 - dl.acm.org
When seeking information not covered in patient-friendly documents, healthcare consumers
may turn to the research literature. Reading medical papers, however, can be a challenging …

Computational assessment of text readability: A survey of current and future research

K Collins-Thompson - ITL-International Journal of Applied …, 2014 - jbe-platform.com
Assessing text readability is a time-honored problem that has even more relevance in
today's information-rich world. This article provides background on how readability of texts is …

Modeling the impact of short-and long-term behavior on search personalization

PN Bennett, RW White, W Chu, ST Dumais… - Proceedings of the 35th …, 2012 - dl.acm.org
User behavior provides many cues to improve the relevance of search results through
personalization. One aspect of user behavior that provides especially strong signals for …

[BOOK][B] Automatic text simplification

H Saggion, G Hirst - 2017 - Springer
Automatic text simplification is a research field in computational linguistics that studies
methods and techniques to simplify textual content. Text simplification methods should …

A survey of query auto completion in information retrieval

F Cai, M De Rijke - Foundations and Trends® in Information …, 2016 - nowpublishers.com
In information retrieval, query auto completion (QAC), also known as typeahead [**ao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …

Learning to personalize query auto-completion

M Shokouhi - Proceedings of the 36th international ACM SIGIR …, 2013 - dl.acm.org
Query auto-completion (QAC) is one of the most prominent features of modern search
engines. The list of query candidates is generated according to the prefix entered by the …

Lessons from the journey: a query log analysis of within-session learning

C Eickhoff, J Teevan, R White, S Dumais - Proceedings of the 7th ACM …, 2014 - dl.acm.org
The Internet is the largest source of information in the world. Search engines help people
navigate the huge space of available data in order to acquire new skills and knowledge. In …

Personalizing search results using hierarchical RNN with query-aware attention

S Ge, Z Dou, Z Jiang, JY Nie, JR Wen - Proceedings of the 27th ACM …, 2018 - dl.acm.org
Search results personalization has become an effective way to improve the quality of search
engines. Previous studies extracted information such as past clicks, user topical interests …