Demo Data from EDBT 2026 / reviewers in the wild / expert
Daymond Ling
dblp:83/2280
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 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.
| Databases, data mining, and information retrieval
1 paper |
Data mining · 67% Web and social media mining · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › business intelligence
customer targeting |
0.1 | 1 | 2006 | Direct Marketing When There Are Voluntary Buyers · ICDM 2006 |
Data mining
direct marketing |
0.1 | 1 | 2006 | Direct Marketing When There Are Voluntary Buyers · ICDM 2006 |
Web and social media mining › social media marketing
influencer marketing |
0.1 | 1 | 2006 | Direct Marketing When There Are Voluntary Buyers · ICDM 2006 |
Methods — techniques the papers use, named apart from their topics
response modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Direct Marketing When There Are Voluntary BuyersabstractIn traditional direct marketing, the implicit assumption is that customers will only purchase the product if they are contacted. In real business environments, however, there are "voluntary buyers, " who will still make the purchase in the absence of a contact. While no direct promotion is needed for voluntary buyers, the traditional response-driven paradigm tends to target such customers. This paper presents "influential marketing, " targeting only those whose purchase decisions can be positively influenced, i.e. buyers who are non-voluntary. Our novel, practical solution to this problem gives promising results. Yi-Ting Lai, Daymond Ling |
ICDM | 3 |