Taking search to task

C Shah, R White, P Thomas, B Mitra, S Sarkar… - Proceedings of the …, 2023 - dl.acm.org
The importance of tasks in information retrieval (IR) has been long argued for, addressed in
different ways, often ignored, and frequently revisited. For decades, scholars made a case …

[图书][B] Task intelligence for search and recommendation

C Shah, RW White - 2022 - books.google.com
While great strides have been made in the field of search and recommendation, there are
still challenges and opportunities to address information access issues that involve solving …

Terms, topics & tasks: Enhanced user modelling for better personalization

R Mehrotra, E Yilmaz - Proceedings of the 2015 international conference …, 2015 - dl.acm.org
Given the distinct preferences of different users while using search engines, search
personalization has become an important problem in information retrieval. Most approaches …

Task-based recommendation on a web-scale

Y Zhang, M Zhang, Y Liu, C Tat-Seng… - … Conference on Big …, 2015 - ieeexplore.ieee.org
The Web today has gone far beyond a tool for simply posting and retrieving information, but
a universal platform to accomplish various kinds of tasks in daily life. However, research and …

[PDF][PDF] Deconstructing complex search tasks: a bayesian nonparametric approach for extracting sub-tasks

R Mehrotra, P Bhattacharya… - Proceedings of the 2016 …, 2016 - aclanthology.org
Search tasks, comprising a series of search queries serving a common informational need,
have steadily emerged as accurate units for developing the next generation of task-aware …

Inferring User Needs & Tasks from User Interactions

R Mehrotra - ACM SIGIR Forum, 2019 - dl.acm.org
The need for search often arises from a broad range of complex information needs or tasks
(such as booking travel, buying a house, etc.) which lead to lengthy search processes …

Topics, tasks & beyond: Learning representations for personalization

R Mehrotra - Proceedings of the Eighth ACM International …, 2015 - dl.acm.org
Accurate understanding of a user's interests, preferences and behaviours is possibly one of
the most critical research challenges faced while developing personalized systems for …

Efficient symmetric comparison-based self-diagnosis using backpropagation artificial neural networks

M Elhadef, A Nayak - 2009 IEEE 28th International …, 2009 - ieeexplore.ieee.org
One of the main challenging problems in distributed systems is the comparison-based self-
diagnosis which aims at identifying the set faulty of nodes (or units) based on the matching …

Query log mining for inferring user tasks and needs

R Mehrotra, E Yilmaz - Machine Learning and Knowledge Discovery in …, 2016 - Springer
Search behavior, and information seeking behavior more generally, is often motivated by
tasks that prompt search processes that are often lengthy, iterative, and intermittent, and are …

Inferring User Needs & Tasks from App Usage Interactions

Y Tian - eprints.nottingham.ac.uk
Mobile devices have become an increasingly ubiquitous part of our everyday life, which are
not only used for basic communication. Nowadays, the need for mobile services arises from …