Demo Data from EDBT 2026 / reviewers in the wild / expert
Anran Li 0002
dblp:202/8872-2
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0001-7001-2240ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Theory of computation · 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.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% | |
| 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 |
|---|---|---|---|---|
Algorithmic game theory and mechanism design
mechanism design |
0.5 | 1 | 2021 | Revenue Maximization and Learning in Products Ranking · EC 2021 |
Algorithmic game theory and mechanism design
product ranking |
0.5 | 1 | 2021 | Revenue Maximization and Learning in Products Ranking · EC 2021 |
Algorithmic game theory and mechanism design
revenue maximization |
0.5 | 1 | 2021 | Revenue Maximization and Learning in Products Ranking · EC 2021 |
Information retrieval
ranking |
0.1 | 1 | 2021 | Revenue Maximization and Learning in Products Ranking · EC 2021 |
Information retrieval › ranking › result ranking
search result ranking |
0.1 | 1 | 2021 | Revenue Maximization and Learning in Products Ranking · EC 2021 |
Methods — techniques the papers use, named apart from their topics
revenue optimization · 1.0learning · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Revenue Maximization and Learning in Products RankingabstractOnline retailing has seen steady growth over the last decade. According to the Digital Commerce (formerly Internet Retailer) analysis of the US Commerce Department's year-end retail data, online sales constituted 16% of all retail sales in 2019, and is forecast to reach higher levels in the next years due to the impact of COVID-19. For an online retailer, one of the most important decisions is the products' display positioning as it plays a crucial role in shaping customers' shopping behavior. Empirical evidence abounds. Baye et al. [2] find that a consumer's likelihood of purchasing from a firm is strongly related to the order in which the firm is listed on a webpage by a search engine. In the online advertising industry, it has been widely observed that ads placed higher on a webpage attract more clicks from consumers [1]. Given the importance of product ranking positions, the key question for online retailers is how to rank the products to maximize the revenue. Ningyuan Chen, Anran Li 0002, Shuoguang Yang |
EC | 2 |