Pressmatch: Automated journalist recommendation for media coverage with Nearest Neighbor search
Soumya Parekh, Jay Patel

TL;DR
This paper introduces Pressmatch, a system that automates journalist recommendations for media coverage by using nearest neighbor search to match press releases with relevant journalists, streamlining the pitching process.
Contribution
The paper presents a novel automated model that efficiently recommends journalists for press releases, reducing manual effort and improving targeting accuracy.
Findings
Effective journalist matching achieved
Reduced time for media outreach
Improved relevance of media contacts
Abstract
Slating a product for release often involves pitching journalists to run stories on your press release. Good media coverage often ensures greater product reach and drives audience engagement for those products. Hence, ensuring that those releases are pitched to the right journalists with relevant interests is crucial, since they receive several pitches daily. Keeping up with journalist beats and curating a media contacts list is often a huge and time-consuming task. This study proposes a model to automate and expedite the process by recommending suitable journalists to run media coverage on the press releases provided by the user.
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Taxonomy
TopicsArtificial Intelligence in Games · Recommender Systems and Techniques
