Oscars
AI Analysis
Best picture
What people say
"wholly original" movies rankings
Best original screenplay
What people say
"multiverse" movies rankings
Best adapted screenplay
What people say
"for discussion" movies rankings
Best animated feature
What people say
"boggling" movies rankings
Best documentary feature
What people say
"close look" movies rankings
2023 Oscars AI Analysis News
2023 Oscars winners: 'Everything Everywhere All At Once' dominates, with wins for Michelle Yeoh, Ke Huy Quan, Jamie Lee Curtis - ABC7 San Francisco
abc7news.com/2023-oscars-oscar-winners-everything-everywhere-all-at-once-michelle-yeoh/12920357/
Oscar Winners 2023: See the Full List Here | Vanity Fair
www.vanityfair.com/hollywood/2023/03/2023-oscars-winners-list
Oscars 2023: The Complete Winners List
www.tvinsider.com/1084955/oscars-2023-winners-list-academy-awards/
The Winners and Losers of the 2023 Oscars - The Ringer
www.theringer.com/oscars/2023/3/13/23637192/oscars-winners-2023-academy-awards-losers
FAQ
Maimovie is an AI-driven movie search and recommendation service that challenges the limitations posed by other ranking and recommendation services. By using “Taste Search,” you can easily make a combination of various “keytalk” phrases that are collected from movie reviews and various movie databases. Maimovie’s database covers content information of all 717K+ movies and TV shows, while also connecting you to 74+ available streaming services. We aim to enhance and redefine the movie-watching experience, while shedding light on overlooked pieces. Welcome to the brand-new phase of movie searching!
Using AI Keytalk - the system that learns various tastes and contexts from social data to adhere to individual preferences, Maimovie recognizes users’ tastes and expressions and transparently provides the most diversified rankings and recommendations.
Our goal is to help users find the perfect movies that match their preferences. To achieve this, we analyze major award winners using 'keytalk' analysis to reflect current movie trends. By analyzing audience reactions, we aim to enhance and redefine users' movie search experience.
We classify each year’s award-winners into ten award categories and utilize our AI analysis to rank tastes for each category. Users can compare “keytalks” and rankings of applicable tastes of multiple years, explore related movie rankings, and understand the cinematographic trends by era - allowing users and industry officials to get an unprecedented amount of insight into the field.