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Daymond Ling

dblp:83/2280 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Data mining › business intelligence
customer targeting
0.112006
Direct Marketing When There Are Voluntary Buyers · ICDM 2006
Data mining
direct marketing
0.112006
Direct Marketing When There Are Voluntary Buyers · ICDM 2006
Web and social media mining › social media marketing
influencer marketing
0.112006
Direct Marketing When There Are Voluntary Buyers · ICDM 2006

Methods — techniques the papers use, named apart from their topics

response modeling · 0.1
YearPublicationVenuePosition
2006 Direct Marketing When There Are Voluntary Buyers
abstract
In 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
ICDM3