Serendipity in recommender systems: a systematic literature review

RJ Ziarani, R Ravanmehr - Journal of Computer Science and Technology, 2021 - Springer
A recommender system is employed to accurately recommend items, which are expected to
attract the user's attention. The over-emphasis on the accuracy of the recommendations can …

Deep learning models for serendipity recommendations: a survey and new perspectives

Z Fu, X Niu, ML Maher - ACM Computing Surveys, 2023 - dl.acm.org
Serendipitous recommendations have emerged as a compelling approach to deliver users
with unexpected yet valuable information, contributing to heightened user satisfaction and …

Serious information in hedonic social applications: affordances, self-determination and health information adoption in TikTok

S Song, YC Zhao, X Yao, Z Ba, Q Zhu - Journal of Documentation, 2022 - emerald.com
Purpose Hedonic social applications have been increasingly popular among health
information consumers. However, it remains unclear what motivates consumers to adopt …

[HTML][HTML] Guidance in the human–machine analytics process

C Collins, N Andrienko, T Schreck, J Yang, J Choo… - Visual Informatics, 2018 - Elsevier
In this paper, we list the goals for and the pros and cons of guidance, and we discuss the
role that it can play not only in key low-level visualization tasks but also the more …

We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision

HK Ko, S An, G Park, SK Kim, D Kim, B Kim… - Proceedings of the 35th …, 2022 - dl.acm.org
We present a communication support system, namely We-toon, that can bridge the webtoon
writers and artists during sketch revision (ie, character design and draft revision). In the …

Directional and explainable serendipity recommendation

X Li, W Jiang, W Chen, J Wu, G Wang, K Li - Proceedings of The Web …, 2020 - dl.acm.org
Serendipity recommendation has attracted more and more attention in recent years; it is
committed to providing recommendations which could not only cater to users' demands but …

From psychological curiosity to artificial curiosity: Curiosity-driven learning in artificial intelligence tasks

C Sun, H Qian, C Miao - arXiv preprint arXiv:2201.08300, 2022 - arxiv.org
Psychological curiosity plays a significant role in human intelligence to enhance learning
through exploration and information acquisition. In the Artificial Intelligence (AI) community …

LuckyFind: Leveraging surprise to improve user satisfaction and inspire curiosity in a recommender system

X Niu, A Al-Doulat - Proceedings of the 2021 Conference on Human …, 2021 - dl.acm.org
The growing amount of online information today has increased opportunity to discover
interesting and useful information. Various recommender systems have been designed to …

Modeling Users' Curiosity in Recommender Systems

Z Fu, X Niu - ACM Transactions on Knowledge Discovery from Data, 2023 - dl.acm.org
Today's recommender systems are criticized for recommending items that are too obvious to
arouse users' interests. Therefore, the research community has advocated some “beyond …

Topological analysis of contradictions in text

X Wu, X Niu, R Rahman - Proceedings of the 45th International ACM …, 2022 - dl.acm.org
Automatically finding contradictions from text is a fundamental yet under-studied problem in
natural language understanding and information retrieval. Recently, topology, a branch of …