Measuring misinformation in video search platforms: An audit study on YouTube

E Hussein, P Juneja, T Mitra - Proceedings of the ACM on Human …, 2020 - dl.acm.org
Search engines are the primary gateways of information. Yet, they do not take into account
the credibility of search results. There is a growing concern that YouTube, the second largest …

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 …

Towards a better understanding of query reformulation behavior in web search

J Chen, J Mao, Y Liu, F Zhang, M Zhang… - Proceedings of the web …, 2021 - dl.acm.org
As queries submitted by users directly affect search experiences, how to organize queries
has always been a research focus in Web search studies. While search request becomes …

An intent taxonomy of legal case retrieval

Y Shao, H Li, Y Wu, Y Liu, Q Ai, J Mao, Y Ma… - ACM Transactions on …, 2023 - dl.acm.org
Legal case retrieval is a special Information Retrieval (IR) task focusing on legal case
documents. Depending on the downstream tasks of the retrieved case documents, users' …

User satisfaction estimation with sequential dialogue act modeling in goal-oriented conversational systems

Y Deng, W Zhang, W Lam, H Cheng… - Proceedings of the ACM …, 2022 - dl.acm.org
User Satisfaction Estimation (USE) is an important yet challenging task in goal-oriented
conversational systems. Whether the user is satisfied with the system largely depends on the …

A study of defensive methods to protect visual recommendation against adversarial manipulation of images

VW Anelli, Y Deldjoo, T Di Noia, D Malitesta… - Proceedings of the 44th …, 2021 - dl.acm.org
Visual-based recommender systems (VRSs) enhance recommendation performance by
integrating users' feedback with the visual features of items' images. Recently, human …

Models versus satisfaction: Towards a better understanding of evaluation metrics

F Zhang, J Mao, Y Liu, X Xie, W Ma, M Zhang… - Proceedings of the 43rd …, 2020 - dl.acm.org
Evaluation metrics play an important role in the batch evaluation of IR systems. Based on a
user model that describes how users interact with the rank list, an evaluation metric is …

Cascade or recency: Constructing better evaluation metrics for session search

F Zhang, J Mao, Y Liu, W Ma, M Zhang… - Proceedings of the 43rd …, 2020 - dl.acm.org
Recently session search evaluation has been paid more attention as a realistic search
scenario usually involves multiple queries and interactions between users and systems …

Navigational and thematic exploration–exploitation trade-offs during web search: effects of prior domain knowledge, search contexts and strategies on search …

C Dosso, L Tamine, PV Paubel… - Behaviour & Information …, 2024 - Taylor & Francis
While a clear distinction is established between simple lookup tasks and complex
exploratory tasks, few studies have documented the differences between complex lookup …

Grid-based evaluation metrics for web image search

X Xie, J Mao, Y Liu, M de Rijke, Y Shao, Z Ye… - The world wide web …, 2019 - dl.acm.org
Compared to general web search engines, web image search engines display results in a
different way. In web image search, results are typically placed in a grid-based manner …