A Decision Support System for Inbound Marketers: An Empirical Use of Latent Dirichlet Allocation Topic Model to Guide Infographic Designers
arXiv:1611.00872v11 citations
Originality Synthesis-oriented
AI Analysis
This addresses a specific problem for inbound marketers and infographic designers by providing a decision support tool, but it is incremental as it applies an existing method to a new domain.
The paper tackled the problem of helping infographic designers predict viral success by benchmarking designs against previous viral infographics, resulting in a method to measure how design decisions affect virality probability.
Infographic is a type of information presentation that inbound marketers use. I suggest a method that can allow the infographic designers to benchmark their design against the previous viral infographics to measure whether a given design decision can help or hurt the probability of the design becoming viral.