Change Details

See https://elasticsearch-learning-to-rank.readthedocs.io/en/latest/core-concepts.html The basic steps here are 1. create an elasticsearch featureset that calculates scores for the different search signals in a mediasearch query (T271806) 2. run every query for which we have "good" data, and gather the scores into a format that can be used to train a model 3. train a model using the gathered scores (see https://elasticsearch-learning-to-rank.readthedocs.io/en/latest/training-models.html) - probably this will need to be done by the search team 4. add a new (or modified) profile to mediasearch that uses the trained model in a rescore query, and test it (see T271801)

See https://elasticsearch-learning-to-rank.readthedocs.io/en/latest/core-concepts.html The basic steps here are 1. create an elasticsearch featureset that calculates scores for the different search signals in a mediasearch query (T271806) 2. run every query for which we have "good" data, and gather the scores into a format that can be used to train a model 3. train a model using the gathered scores (see https://elasticsearch-learning-to-rank.readthedocs.io/en/latest/training-models.html) - probably this will need to be done by the search team 4. add a new profile to mediasearch that uses the trained model in a rescore query (see T274670), and test it (see T271801)

See https://elasticsearch-learning-to-rank.readthedocs.io/en/latest/core-concepts.html The basic steps here are 1. create an elasticsearch featureset that calculates scores for the different search signals in a mediasearch query (T271806) 2. run every query for which we have "good" data, and gather the scores into a format that can be used to train a model 3. train a model using the gathered scores (see https://elasticsearch-learning-to-rank.readthedocs.io/en/latest/training-models.html) - probably this will need to be done by the search team 4. add a new (or modified) profile to mediasearch that uses the trained model in a rescore query (see T274670), and test it (see T271801)