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Personalized Recommendation Apps

Clean the Sky - Positive Eco Trends & Breakthroughs

This App Provides Smart Recommendations Based on Expert Knowledge

— June 23, 2015 — Tech
'Spot' is a personal recommendation app that helps users find "the best places in the world." Unlike other local discovery apps such as Yelp and Trip Advisor, Spot delivers curated suggestions that are designed to suit your own personal preferences.

Rather than relying exclusively on user-generated content, Spot scours the web to see what restaurants, bars, hotels and stores consumers are discussing. The app also draws on information from local curators and other travel experts in order to provide a more broad range of data. If a user searches for a particular service, Spot will then deliver smart recommendations instead of a long list of choices. The idea is that users will have a curated list of recommendations that aligns with their own interests.

The app is currently in its private beta phase, but the company is eager to extend the service to the public in the near future.
Trend Themes
1. Personalized Recommendation Apps - Apps that deliver curated recommendations based on personal interests and expert knowledge.
2. Curated Data Collection - Aggregating information from various sources to create a more comprehensive and personalized resources can revolutionize discovery apps and recommendation tools.
3. Smart Recommendations - Using data-driven algorithms and artificial intelligence, personalized recommendation apps can provide users with hyper-targeted recommendations that go beyond traditional crowd-sourced platforms.
Industry Implications
1. Travel and Tourism - By providing personalized recommendations, travel and tourism companies can improve the travel experience for their customers and stand out in a crowded marketplace.
2. Restaurant Industry - Using curated and expert recommendations could help restaurants better market their unique offerings to customers and stand out in a competitive market.
3. Retail Industry - By providing personalized recommendations based on user preferences and expert knowledge, retailers can help customers save time and make better purchase decisions, leading to increased sales and customer satisfaction.
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