Pressmatch: Automated journalist recommendation for media coverage with Nearest Neighbor search
This addresses a time-consuming task for public relations professionals by automating journalist recommendations, though it appears incremental as it applies an existing method to a specific domain.
The study tackled the problem of manually matching press releases to suitable journalists by proposing an automated recommendation model using Nearest Neighbor search, aiming to expedite the process and improve media coverage effectiveness.
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.