Predicting user satisfaction with intelligent assistants
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 …
mobile devices, such as Microsoft's Cortana, Google Now, and Apple's Siri. They …
Online evaluation for information retrieval
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 …
information retrieval system. It involves fielding the information retrieval system to real users …
User intent, behaviour, and perceived satisfaction in product search
As online shop** becomes increasingly popular, users perform more product search to
purchase items. Previous studies have investigated people's online shop** behaviours …
purchase items. Previous studies have investigated people's online shop** behaviours …
Featured snippets and their influence on users' credibility judgements
Search engines often provide featured snippets, which are boxed and placed above other
results with the aim of directly answering user queries. To learn about how users judge the …
results with the aim of directly answering user queries. To learn about how users judge the …
Measuring user satisfaction on smart speaker intelligent assistants using intent sensitive query embeddings
Intelligent assistants are increasingly being used on smart speaker devices, such as
Amazon Echo, Google Home, Apple Homepod, and Harmon Kardon Invoke with Cortana …
Amazon Echo, Google Home, Apple Homepod, and Harmon Kardon Invoke with Cortana …
Does visual attention help? Towards better understanding and predicting users' good abandonment behavior in mobile search
D Wu, S Zhang - Library Hi Tech, 2024 - emerald.com
Purpose Good abandonment behavior refers to users obtaining direct answers via search
engine results pages (SERPs) without clicking any search result, which occurs commonly in …
engine results pages (SERPs) without clicking any search result, which occurs commonly in …
Jointly leveraging intent and interaction signals to predict user satisfaction with slate recommendations
Detecting and understanding implicit measures of user satisfaction are essential for
enhancing recommendation quality. When users interact with a recommendation system …
enhancing recommendation quality. When users interact with a recommendation system …
The characteristics of voice search: Comparing spoken with typed-in mobile web search queries
I Guy - ACM Transactions on Information Systems (TOIS), 2018 - dl.acm.org
The growing popularity of mobile search and the advancement in voice recognition
technologies have opened the door for web search users to speak their queries rather than …
technologies have opened the door for web search users to speak their queries rather than …
Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals
Web search heavily relies on click-through behavior as an essential feedback signal for
performance evaluation and improvement. Traditionally, click is usually treated as a positive …
performance evaluation and improvement. Traditionally, click is usually treated as a positive …
Assessing and verifying task utility in llm-powered applications
The rapid development of Large Language Models (LLMs) has led to a surge in applications
that facilitate collaboration among multiple agents, assisting humans in their daily tasks …
that facilitate collaboration among multiple agents, assisting humans in their daily tasks …