{"id":"W1551228660","doi":"10.48550/arxiv.1212.2442","title":"Active Collaborative Filtering","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Collaborative filtering; Computer science; Computation; Focus (optics); Recommender system; Quantization (signal processing); Online and offline; Quality (philosophy); Vector quantization; Theoretical computer science; Machine learning; Artificial intelligence; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056998,0.001850019,0.003301442,0.003129771,0.002195088,0.004868639,0.003648988,0.003581948,0.01231894],"category_scores_gemma":[0.01833601,0.0009603364,0.00200072,0.004925141,0.001536159,0.005054775,0.002785945,0.002624266,0.006609125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239794,"about_ca_system_score_gemma":0.001838901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004727741,"about_ca_topic_score_gemma":0.005492243,"domain_scores_codex":[0.9915816,0.002997377,0.0004194434,0.002218058,0.002410056,0.0003734221],"domain_scores_gemma":[0.9887,0.005196025,0.0005330256,0.00351035,0.001772713,0.0002879786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002674901,0.0004404649,0.00302156,0.0009282365,0.0006963962,0.0002751265,0.0004040779,0.07813139,0.005559525,0.2041863,0.03309871,0.6729907],"study_design_scores_gemma":[0.0001050238,0.0002910407,0.001419095,0.0002386713,0.0002765748,0.0007256389,0.0002045236,0.6068989,0.004788844,0.2844594,0.1004451,0.0001471644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003020899,0.001982795,0.9826295,0.0004202543,0.0002657054,0.0001885705,0.0003409593,0.000611756,0.01053953],"genre_scores_gemma":[0.284585,0.005960484,0.6666144,0.001052916,0.001334507,0.0006535593,0.002376278,0.0002397804,0.03718296],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01231894,"threshold_uncertainty_score":0.04121095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08900886807113924,"score_gpt":0.1995778527243885,"score_spread":0.1105689846532493,"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."}}