{"id":"W47192650","doi":"10.5591/978-1-57735-516-8/ijcai11-447","title":"Recommender systems: missing data and statistical model estimation","year":2011,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Recommender system; Computer science; Ranking (information retrieval); Missing data; Statistical model; Data mining; Information retrieval; Data modeling; Machine learning; Collaborative filtering; Artificial intelligence; Database","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":[0.000443192,0.0000866168,0.0001202798,0.00004883055,0.00007401357,0.000194481,0.0005685576,0.00004256146,0.000009202246],"category_scores_gemma":[0.00002007432,0.00006935026,0.000006419755,0.00005519252,0.00001674069,0.0008064557,0.0004435733,0.00005825979,0.000006235086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001372887,"about_ca_system_score_gemma":0.00002561964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002490063,"about_ca_topic_score_gemma":0.000004823907,"domain_scores_codex":[0.9991537,0.00005481111,0.0002154398,0.0003298483,0.0001061865,0.0001400215],"domain_scores_gemma":[0.9990217,0.00005216552,0.00005416351,0.0007661933,0.00002632983,0.00007945383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001898758,0.0000489177,0.0002114683,0.00006300709,0.00001702356,0.000004728393,0.0007652895,0.00002072179,0.00002054283,0.7468205,0.04275747,0.2092684],"study_design_scores_gemma":[0.00005913888,0.00001859269,0.00009746491,0.00002013202,0.000003117366,0.00002450118,0.00002627268,0.9762142,0.00005962023,0.02256896,0.0008118554,0.00009609753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004814201,0.00007108576,0.9799559,0.0002990381,0.0001167705,0.0001212032,0.000008560472,0.0002669123,0.01911245],"genre_scores_gemma":[0.3501343,0.000007959315,0.6496434,0.00009990999,0.000008118553,0.000005785021,0.00000711681,0.00000448019,0.00008885055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9761935,"threshold_uncertainty_score":0.2828022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1846839422176645,"score_gpt":0.3204032407795069,"score_spread":0.1357192985618423,"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."}}