VLDB 2026 Research / reviewers in the wild / expert
Sabrina Sauer
dblp:124/0143
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · unresolved
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
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 |
Design research and methods · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › user behavior
search behavior |
0.2 | 1 | 2016 | Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production · SIGIR 2016 |
Information retrieval › evaluation
user study |
0.2 | 1 | 2016 | Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production · SIGIR 2016 |
Design research and methods › in-the-wild study
living lab |
0.1 | 1 | 2016 | Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production · SIGIR 2016 |
Methods — techniques the papers use, named apart from their topics
semi-structured interviews · 0.5co-design workshops · 0.2co-design workshop · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media ProductionabstractThis paper presents a method to map user needs and integrate serendipitous search behaviors in search algorithm development: the living lab approach. This user-centered design approach involves technology users during technology development to catch unexpected insights and successfully innovate. This paper focuses on the preliminary findings of a living lab case study to answer the question how this methodology reveals fine-grained information about users' serendipitous search behaviors. The case study involves a specific user group, media professionals who work in broadcast television and use audiovisual archives to create audiovisual content, during the development of new search algorithms for a large audiovisual archive. Research insights are based on data gathered during one co-design workshop, and ten in-depth semi-structured interviews with media professionals. Sabrina Sauer, Maarten de Rijke |
SIGIR | 1 |