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Detecting Link and Landing Page Misalignment in Marketing Emails

  • Nedim Lipka
  • Tak Yeon Lee
  • Eunyee Koh
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 903)

Abstract

Links and their landing pages in the World Wide Web are oftentimes flawed or irrelevant. We created a data set of 4266 links within 160 marketing emails whose relevance with landing pages have been evaluated by crowd workers. We present a study of common misalignments and propose methods for detecting these misalignments. An F-score of 0.63 can be achieved by a neural network for cases where the misaligned label requires the majority out of 5 crowd worker votes.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Adobe ResearchSan JoseUSA

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