Movie Recommendations in BigQuery ML 2.5 Reviews

GD S. · Reviewed over 3 years ago

Nicholas R. · Reviewed over 3 years ago

Asha Tejaswini G. · Reviewed over 3 years ago

Garvit D. · Reviewed over 3 years ago

Pravandana R. · Reviewed over 3 years ago

Joshua Y. · Reviewed over 3 years ago

King E. · Reviewed over 3 years ago

John D. · Reviewed over 3 years ago

Charlene B. · Reviewed over 3 years ago

some simple big query can not be processed... a bit disappointing: SELECT AVG(predicted_rating) as average_rating, movieId FROM ML.RECOMMEND(MODEL `cloud-training-prod-bucket.movies.movie_recommender`) group by movieId order by movieId LIMIT 100000 Query exceeded resource limits. This query used 24249 CPU seconds but would charge only 43M Analysis bytes. This exceeds the ratio supported by the on-demand pricing model. Please consider moving this workload to the flat-rate reservation pricing model, which does not have this limit. 24249 CPU seconds were used, and this query must use less than 11000 CPU seconds.

Jianing M. · Reviewed over 3 years ago

Kamran S. · Reviewed over 3 years ago

Peter C. · Reviewed over 3 years ago

Daniel L. · Reviewed over 3 years ago

Aditya P. · Reviewed over 3 years ago

Francesc G. · Reviewed over 3 years ago

SELECT * FROM ML.PREDICT(MODEL `cloud-training-prod-bucket.movies.movie_recommender`, ( WITH allUsers AS ( SELECT DISTINCT userId FROM movies.movielens_ratings ) SELECT 96481 AS movieId, ( SELECT title FROM movies.movielens_movies WHERE movieId=96481) title, userId FROM allUsers )) ORDER BY predicted_rating DESC LIMIT 100 it's not working properly with the error Scalar subquery produced more than one element I had to change with SELECT * FROM ML.PREDICT(MODEL `cloud-training-prod-bucket.movies.movie_recommender`, ( WITH allUsers AS ( SELECT DISTINCT userId FROM movies.movielens_ratings ) SELECT 96481 AS movieId, ( SELECT DISTINCT title FROM movies.movielens_movies WHERE movieId=96481) title, userId FROM allUsers )) ORDER BY predicted_rating DESC LIMIT 100

Oussama B. · Reviewed over 3 years ago

Luiz P. · Reviewed over 3 years ago

Blaine W. · Reviewed over 3 years ago

Daniel D. · Reviewed over 3 years ago

Fatima E. · Reviewed over 3 years ago

Marek C. · Reviewed over 3 years ago

Tommi N. · Reviewed over 3 years ago

Vivek T. · Reviewed over 3 years ago

Mikhail H. · Reviewed over 3 years ago

Siva C. · Reviewed over 3 years ago