VLDB 2026 Research / reviewers in the wild / expert
Sakis Athanasiadis
dblp:277/9244
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0005-1804-0080ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
e-commerce search |
0.9 | 1 | 2025 | From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.com · SIGIR 2025 |
Information retrieval › retrieval models › neural retrieval
late interaction retrieval |
0.9 | 1 | 2025 | From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.com · SIGIR 2025 |
Information retrieval
retrieval models |
0.9 | 1 | 2025 | From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.com · SIGIR 2025 |
Information retrieval › search engines
semantic search |
0.9 | 1 | 2025 | From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.com · SIGIR 2025 |
Information retrieval › retrieval models › neural retrieval
dense retrieval |
0.3 | 1 | 2025 | From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.com · SIGIR 2025 |
Methods — techniques the papers use, named apart from their topics
late interaction · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | From Keywords to Concepts: A Late Interaction Approach to Semantic Product Search on IKEA.comabstractModern e-commerce platforms require search engines that go beyond simple keyword matching to accurately capture customer intent. Traditional keyword-based retrieval struggles with complex, multi-attribute queries, potentially leading to suboptimal results and poor customer experience. To address these challenges, we introduce a late interaction-based semantic search engine designed for IKEA product search. This approach significantly improves retrieval quality while maintaining low latency, ensuring a more effective and seamless search experience for customers. Amritpal Singh Gill, Sannikumar Patel, Péter Varga, Sakis Athanasiadis |
SIGIR | 5 |