{"id":"W2740305962","doi":"10.24963/ijcai.2017/485","title":"Learning Discriminative Recommendation Systems with Side Information","year":2017,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Canada Research Chairs","keywords":"Recommender system; Computer science; Discriminative model; Exploit; Information retrieval; Joint (building); Collaborative filtering; Machine learning; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759262,0.001223492,0.002620553,0.001064845,0.0006356842,0.0009627265,0.001973139,0.001615963,0.001711518],"category_scores_gemma":[0.005955178,0.001169744,0.001204628,0.001719845,0.0008003757,0.002135511,0.001091954,0.001844677,0.001714343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007892144,"about_ca_system_score_gemma":0.0008952176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022281,"about_ca_topic_score_gemma":0.01963603,"domain_scores_codex":[0.9986934,0.000334172,0.00008760376,0.0005030596,0.0002522691,0.0001295061],"domain_scores_gemma":[0.9963246,0.002061041,0.0003571672,0.0006962922,0.0004291712,0.000131822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005829783,0.0004000159,0.008927708,0.0002827393,0.0003478729,0.0003189918,0.0001795485,0.6063991,0.007352835,0.008127697,0.006661368,0.3604191],"study_design_scores_gemma":[0.00001310918,0.00003903278,0.0003473585,0.000005063934,0.00002289598,0.00003636413,0.000004272882,0.9966413,0.0004532674,0.002184654,0.000243827,0.000008847481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08389734,0.00149295,0.9090436,0.0004218118,0.00009019658,0.00008141093,0.0004212395,0.00245149,0.002099908],"genre_scores_gemma":[0.8493598,0.0007049593,0.1399655,0.0004605227,0.0002978556,0.0001670117,0.001978073,0.0001357432,0.006930474],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01022281,"threshold_uncertainty_score":0.02032661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119845828635439,"score_gpt":0.261173890697981,"score_spread":0.2399754324116266,"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."}}