Demo Data from EDBT 2026 / reviewers in the wild / expert
Yuan-Chi Lee
dblp:380/1287
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0002-7529-582XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › interactive information retrieval
conversational information seeking |
0.8 | 1 | 2024 | ConvLogRecaller: Real-Time Conversational Lifelog Recaller · SIGIR 2024 |
Information retrieval › document retrieval › interactive document retrieval
online retrieval |
0.2 | 1 | 2024 | ConvLogRecaller: Real-Time Conversational Lifelog Recaller · SIGIR 2024 |
Methods — techniques the papers use, named apart from their topics
conversational recall · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | ConvLogRecaller: Real-Time Conversational Lifelog RecallerabstractThe 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. Yuan-Chi Lee, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
SIGIR | 1 |