Reviews of #movies are already very popular on Hive. At one point, we considered creating a combination of object types, such as movies, actors, studios, etc., to lay the groundwork for an IMDB-like data structure on Hive.
However, Waivio has currently prioritized products for social shopping, though interest in movies remains high.
When reviews and user ranking votes are published on the open blockchain, it becomes possible to find like-minded users and discover new movies based on their recommendations.
Hi! This reminds me of what taskmaster is building. Have you seen this post?
https://peakd.com/hive-167922/@taskmaster4450/bringing-rotton-tomatoes-to-hive
Thanks for the link. I agree; building an open, decentralized, wiki-like database of movies has a lot of potential. The transparency of voting and ranking on the open social blockchain can bring about profound changes in the movie industry, improving the process of movie discovery along the way.
Hey @grampo! I'll look into it. Does waivio have a peer-trust-reputation system for movie reviews?
Each object type has its own set of rankings. For example, restaurants are rated based on Ambiance, Service, Food, and Value:
For movies, there could be its own set of rankings, such as Acting, Direction, Plot, etc.
Each vote is recorded on the blockchain and signed by the user. As a result, it is easy to trace the votes of people I follow (trust) and compile a list of recommendations for discovering movies to watch.
Alternatively, it is possible to find like-minded individuals if their votes tend to match your own, and you can compile a list of movie suggestions based on their votes for movies which you have not yet watched (ranked).
With each vote a user casts, the system will be able to refine suggestions even more effectively. We are talking not just about finding similar movies, but rather about identifying films that have been positively rated by like-minded individuals.
Thanks for the detailed response. That's your solid structured data layer ;)