{"id":"W1969245231","doi":"10.1145/2792838.2800192","title":"Learning Distributed Representations from Reviews for Collaborative Filtering","year":2015,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Collaborative filtering; Flexibility (engineering); Recommender system; Latent Dirichlet allocation; Product (mathematics); Artificial neural network; Recurrent neural network; Expressive power","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003335224,0.00006991854,0.0001509693,0.00002700555,0.00007759544,0.0001616496,0.0002788023,0.00002624778,0.000006890163],"category_scores_gemma":[0.0001789162,0.00005605938,0.00003715908,0.0002272951,0.000006851689,0.0003463784,0.000111576,0.00004771709,0.00001494984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000315039,"about_ca_system_score_gemma":0.0000334687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001850182,"about_ca_topic_score_gemma":0.00002820622,"domain_scores_codex":[0.9992895,0.00009872195,0.0002096724,0.0002166095,0.00007648427,0.0001090019],"domain_scores_gemma":[0.9993128,0.0001042162,0.00009642605,0.0002727959,0.0001434123,0.00007041029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001192293,0.00007633988,0.003432013,0.00003237505,0.00006544155,0.000005830622,0.007791083,0.000148879,0.002206197,0.09537698,0.7870156,0.1038373],"study_design_scores_gemma":[0.0003237779,0.0001329709,0.0002229926,0.00004072465,0.000004362139,0.000001863507,0.0006274114,0.02126857,0.00706945,0.009248913,0.9608867,0.0001723138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002737975,0.0002515176,0.9923533,0.0008933206,0.0001887142,0.0004184267,0.00001516694,0.0002648962,0.005340903],"genre_scores_gemma":[0.1450018,0.00007135451,0.8524526,0.0001834592,0.0001377043,0.0004869844,0.0001100385,0.00000972597,0.001546263],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.173871,"threshold_uncertainty_score":0.2286035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113042172613241,"score_gpt":0.3440369500853614,"score_spread":0.2309947774721204,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}