Curious what roast is for you? Let your personality indicate what brew is right for you based on your recent Twitter/Facebook activity.
Personality traits leading to consumer buying insights
Personality analysis and a learning algorithm can be used to prioritize content being presented to a user in any setting. If a consumer makes their social profile available to an e-commerce site, a consumer report could be done to filter out products that user isn’t likely to consume, while suggesting other merchandise that they might be more interested in. Along the same lines, understanding how a consumer behaves online could help marketers push relevant content in data-driven marketing campaigns.
Analyzing social media to decipher coffee preferences
Given how complex coffee roasts can be, the average coffee drinker sometimes misses out on more interesting blends and options. Utilizing IBM Watson’s Personality Insights API and an algorithm that analyzes different types of coffee roasts, Barista predicts coffee selections by analyzing a user’s Twitter or Facebook feed to assess primary personality traits and then pairs it with a coffee roast recommendation. The user can then let the algorithm know if it was right or wrong in order to refine future pairings based on aggregate data.
IBM Watson's personality insights APIUsing AI, this API maps data from Twitter to the “big five” personality traits, also known as OCEAN (openness, conscientiousness, extraversion, agreeableness, and neuroticism).
MongoDB for data storageIn order to effectively create a product that sues the feedback provided by users to learn, adapt and improve recommendations, a stellar data storage selection was crucial.
Angular and NodeUsing these two modern web technologies, we are able to push the boundaries for product integrations and drive success within AI experiments.