Demo Data from SIGIR 2026 / reviewers in the wild / expert
Manyu Sheng
dblp:342/1182
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-8633-3222ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 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% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › user interaction
user feedback |
0.9 | 1 | 2025 | Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content · CHI 2025 |
Human-AI interaction › human-centered AI
user control |
0.3 | 1 | 2025 | Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content · CHI 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content
Wenqi Li 0002, Jui-Ching Kuo, Manyu Sheng, Qunfang Wu |
CHI | 3 |