In an effort to help streamline user experiences Yelp is implementing its new Collections AI feature that extends past browsing actions. By utilizing a mix of machine learning, computerized sorting and consumer-created curation, the new service hopes to better recommend restaurants, hotels and other services to users of Yelp. Those hoping to use the Collections AI feature will have a Collection automatically generated for them through Yelp's AI-generated option. The initial Collection will be fairly sparse, but as users continue to utilize Yelp, the AI will then introduce more recommendations based on activity.
The Collection AI feature is currently broken down into three categories: weekly user recommendations, suggestions published by Yelp and personal lists created by users. The feature will be available on Yelp mobile apps and its website.
AI-Generated Recommendations
The New Yelp Collections AI Feature Looks Past Browsing History
Trend Themes
1. Machine Learning - Utilizing machine learning, Yelp's Collections AI feature aims to provide personalized recommendations and streamline user experiences.
2. Consumer-created Curation - Through consumer-created curation, Yelp's Collections AI feature allows users to generate and share personalized lists of recommendations.
3. Artificial Intelligence in Recommendations - Yelp's AI-generated option utilizes artificial intelligence to automatically generate collections and introduce relevant recommendations based on user activity.
Industry Implications
1. Hospitality - Yelp's Collections AI feature can be a disruptive innovation opportunity for the hospitality industry by providing personalized recommendations for hotels and improving user experiences.
2. Food Service - In the food service industry, Yelp's Collections AI feature can help restaurants gain visibility and attract customers by recommending their establishments to users based on their preferences.
3. Travel and Tourism - Yelp's Collections AI feature can revolutionize the travel and tourism industry by offering tailored recommendations for attractions and services, enhancing the overall travel experience for users.