The search as learning spaceship: Toward a comprehensive model of psychological and technological facets of search as learning

J Von Hoyer, A Hoppe, Y Kammerer, C Otto… - Frontiers in …, 2022 - frontiersin.org
Using a Web search engine is one of today's most frequent activities. Exploratory search
activities which are carried out in order to gain knowledge are conceptualized and denoted …

Featured snippets and their influence on users' credibility judgements

M Bink, S Zimmerman, D Elsweiler - … of the 2022 Conference on Human …, 2022 - dl.acm.org
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 …

Measuring user satisfaction on smart speaker intelligent assistants using intent sensitive query embeddings

SH Hashemi, K Williams, A El Kholy, I Zitouni… - Proceedings of the 27th …, 2018 - dl.acm.org
Intelligent assistants are increasingly being used on smart speaker devices, such as
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 …

Assessing and verifying task utility in llm-powered applications

N Arabzadeh, S Huo, N Mehta, Q Wu, C Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

[書籍][B] Mobile information retrieval

F Crestani, S Mizzaro, I Scagnetto - 2017 - Springer
This chapter introduces, in Sect. 1.1, the area of research and development of Mobile
Information Retrieval. In Sect. 1.2 it gives the motivation for this review and explains briefly …

How well do offline and online evaluation metrics measure user satisfaction in web image search?

F Zhang, K Zhou, Y Shao, C Luo, M Zhang… - The 41st international …, 2018 - dl.acm.org
Comparing to general Web search engines, image search engines present search results
differently, with two-dimensional visual image panel for users to scroll and browse quickly …

Do people and neural nets pay attention to the same words: studying eye-tracking data for non-factoid QA evaluation

V Bolotova, V Blinov, Y Zheng, WB Croft… - Proceedings of the 29th …, 2020 - dl.acm.org
We investigated how users evaluate passage-length answers for non-factoid questions. We
conduct a study where answers were presented to users, sometimes shown with automatic …

Constructing click model for mobile search with viewport time

Y Zheng, J Mao, Y Liu, C Luo, M Zhang… - ACM Transactions on …, 2019 - dl.acm.org
A series of click models has been proposed to extract accurate and unbiased relevance
feedback from valuable yet noisy click-through data in search logs. Previous works have …

Evaluating mobile search with height-biased gain

C Luo, Y Liu, T Sakai, F Zhang, M Zhang… - Proceedings of the 40th …, 2017 - dl.acm.org
Mobile search engine result pages (SERPs) are becoming highly visual and heterogenous.
Unlike the traditional ten-blue-link SERPs for desktop search, different verticals and cards …