Support efficient batch recommendation for SLIM#7
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This pull request introduces a new batch recommendation feature to the
SLIMElasticmodel, improves performance, and updates relevant tests and documentation. The most significant changes include the addition of therecommend_batchmethod, integration of batch recommendation into theSLIMmodel, and comprehensive test coverage for the new functionality.Enhancements to Recommendation Features:
recommend_batchmethod toSLIMElasticfor efficient batch recommendation processing, leveraging optimized matrix operations to improve performance. This method supports filtering, candidate item selection, and score retrieval. (rtrec/models/internal/slim_elastic.py, rtrec/models/internal/slim_elastic.pyR674-R742)_recommend_hot_batchinSLIMto integrate batch recommendation functionality, allowing seamless usage ofrecommend_batchwithin the higher-level model. (rtrec/models/slim.py, rtrec/models/slim.pyR81-R105)Testing Improvements:
test_recommend_batchto validate the behavior of the batch recommendation feature under various scenarios, including filtering, handling empty user lists, and cold start cases. (tests/models/test_slim.py, tests/models/test_slim.pyR121-R195)