Demo Data from SIGIR 2026 / reviewers in the wild / expert
Max Whitney
dblp:117/3997
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1Human-computer interaction and ubiquitous computing · 1
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.
| Artificial intelligence
1 paper |
Information extraction and text analysis · 50% Graph learning · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis
bootstrapping |
0.1 | 1 | 2012 | Bootstrapping via Graph Propagation · ACL (1) 2012 |
Machine learning › Graph learning
graph propagation |
0.1 | 1 | 2012 | Bootstrapping via Graph Propagation · ACL (1) 2012 |
Methods — techniques the papers use, named apart from their topics
graph propagation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Evaluating the Value of Lensing Wikipedia During the Information Seeking ProcessabstractWhile Wikipedia is an excellent source of information about entities, discovering relationships among them is not well-supported by its search features. Lensing Wikipedia was designed as an alternate search and summarization interface, providing a set of filtering, visualization, and exploration tools that enable searching among the connections between people, organizations, and locations. In this paper, we present the results of a user study on how these features are used in each of Vakkari's stages of information seeking (pre-focus, focus formulation, and post-focus), and the participants perceptions of the utility of these features to their overall information-seeking goals. Participants primarily used input and control features during the pre-focus stage, informational and personalization features during the focus formulation stage, and personalization features during the post-focus stage. Findings from this study contribute to understanding how people use advanced search, summarization, and visualization tools to aid their information seeking tasks. Orland Hoeber, Anoop Sarkar, Andrei Vacariu, Max Whitney, Manali Gaikwad, Gursimran Kaur |
CHIIR | 4 |
| 2013 | An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views
Ann Clifton, Max Whitney, Anoop Sarkar |
IJCNLP | 2 |
| 2012 | Bootstrapping via Graph Propagation
Max Whitney, Anoop Sarkar |
ACL (1) | 1 |