Touch technology in affective human–, robot–, and virtual–human interactions: A survey

T Olugbade, L He, P Maiolino, D Heylen… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Given the importance of affective touch in human interactions, technology designers are
increasingly attempting to bring this modality to the core of interactive technology. Advances …

Predicting user satisfaction with intelligent assistants

J Kiseleva, K Williams, A Hassan Awadallah… - Proceedings of the 39th …, 2016 - dl.acm.org
There is a rapid growth in the use of voice-controlled intelligent personal assistants on
mobile devices, such as Microsoft's Cortana, Google Now, and Apple's Siri. They …

Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges

A Rashid, MS Farooq, A Abid, T Umer… - Complex & Intelligent …, 2021 - Springer
Intention mining is a promising research area of data mining that aims to determine end-
users' intentions from their past activities stored in the logs, which note users' interaction with …

Online evaluation for information retrieval

K Hofmann, L Li, F Radlinski - Foundations and Trends® in …, 2016 - nowpublishers.com
Online evaluation is one of the most common approaches to measure the effectiveness of an
information retrieval system. It involves fielding the information retrieval system to real users …

Towards better measurement of attention and satisfaction in mobile search

D Lagun, CH Hsieh, D Webster… - Proceedings of the 37th …, 2014 - dl.acm.org
Web Search has seen two big changes recently: rapid growth in mobile search traffic, and
an increasing trend towards providing answer-like results for relatively simple information …

Jointly leveraging intent and interaction signals to predict user satisfaction with slate recommendations

R Mehrotra, M Lalmas, D Kenney, T Lim-Meng… - The World Wide Web …, 2019 - dl.acm.org
Detecting and understanding implicit measures of user satisfaction are essential for
enhancing recommendation quality. When users interact with a recommendation system …

An f-shape click model for information retrieval on multi-block mobile pages

L Fu, J Lin, W Liu, R Tang, W Zhang, R Zhang… - Proceedings of the …, 2023 - dl.acm.org
Most click models focus on user behaviors towards a single list. However, with the
development of user interface (UI) design, the layout of displayed items on a result page …

From queries to cards: Re-ranking proactive card recommendations based on reactive search history

M Shokouhi, Q Guo - Proceedings of the 38th International ACM SIGIR …, 2015 - dl.acm.org
The growing accessibility of mobile devices has substantially reformed the way users access
information. While the reactive search by query remains as common as before, recent years …

Constructing click models for mobile search

J Mao, C Luo, M Zhang, S Ma - … ACM SIGIR conference on research & …, 2018 - dl.acm.org
Users' click-through behavior is considered as a valuable yet noisy source of implicit
relevance feedback for web search engines. A series of click models have therefore been …

Detecting good abandonment in mobile search

K Williams, J Kiseleva, AC Crook, I Zitouni… - Proceedings of the 25th …, 2016 - dl.acm.org
Web search queries for which there are no clicks are referred to as abandoned queries and
are usually considered as leading to user dissatisfaction. However, there are many cases …