6 calls to recommender_get_app_id() in Recommender API 6

recommender_prediction_classical in ./recommender.module

Classical weight-average algorithm to calculate prediction from the similarity matrix, based on average weight. Limitation: we only do database operation for now. no in-memory operation available until future release. Limitation: we only do average…

recommender_prediction_slopeone in ./recommender.module

This is the implementation of slope-one algorithm, which is supposed to be faster than other algrithms. From the original research paper, the author argues slope-one support incremental update. But this is quite hard to implement. The incremental…

recommender_similarity_classical in ./recommender.module

classical collaborative filtering algorithm based on correlation coefficient. could be used in the classical user-user or item-item algorithm see the README file for more details

recommender_similarity_coocurrences in ./recommender.module

Co-ocurrences algorithm that compute similarity among mice based on how many cheese they share.

recommender_updated_add in ./recommender.module

recommender_updated_purge in ./recommender.module