@inproceedings{fb701605a63b4bc3ba4247880758fdfb,
title = "ConvLogRecaller: Real-Time Conversational Lifelog Recaller",
abstract = "The popularization of networks fosters the convenience of communication. People can easily share their life experiences and thoughts with relatives and friends via instant messaging software. As time passes, individuals may forget certain details of life events, leading to difficulties in effectively communicating with others. The propensity of individuals to forget or mix up life events highlights the importance of services aimed at retrieving information about past experiences. This paper presents a conversational information recall system, ConvLogRecaller, which proactively supports real-time memory recall assistance during online conversations. Given a conversation of the user with others, ConvLogRecaller suggests a message if the user forgets the details of the life experiences. The services provided by our system can avoid hesitations or memory lapses that might hinder the efficiency of a conversation.",
keywords = "conversational lifelogs retrieval, lifelogging, proactive information recall",
author = "Lee, {Yuan Chi} and Yen, {An Zi} and Huang, {Hen Hsen} and Chen, {Hsin Hsi}",
note = "Publisher Copyright: {\textcopyright} 2024 ACM.; 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024 ; Conference date: 14-07-2024 Through 18-07-2024",
year = "2024",
month = jul,
day = "10",
doi = "10.1145/3626772.3657659",
language = "English",
series = "SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval",
publisher = "Association for Computing Machinery, Inc",
pages = "2724--2728",
booktitle = "SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval",
}