"Pinterest has outlined its latest approach to content recommendations, which utilizes AI assessment of user behaviors to determine their likely intent in using Pinterest. The process aims to determine each user's "journey," as in what they're actually looking to achieve through their Pin discovery and action process. So Pinterest is looking to expand its recommendations beyond related Pins to what each user is likely to be looking for next within each journey, based on other users' behaviors, as well as the full scope of each person's activity."
"And it's working. Through this updated recommendations approach, Pinterest has improved email click rate by 88%, while user surveys have shown 23% more positive feedback. The process essentially utilizes a wider breadth of signals to understand the likely goal of each user, as opposed to more direct recommendations."
Pinterest now assesses user behaviors with AI to infer each user's intent and 'journey' during Pin discovery and actions. Recommendations are expanded beyond related Pins to anticipate what each user is likely to seek next within a journey by leveraging other users' behaviors and the full scope of each person's activity. The updated approach uses a wider breadth of signals to understand likely user goals rather than relying on direct suggestions. Early results show improved engagement, with an 88% increase in email click-through rates and 23% more positive responses in user surveys.
Read at Social Media Today
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