{"id":"W2584465509","doi":"10.1109/icmla.2016.0070","title":"Recommendation Model Based on a Contextual Similarity Measure","year":2016,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Computer science; Information retrieval; Similarity (geometry); Personalized search; Process (computing); Recommender system; Measure (data warehouse); Similarity measure; World Wide Web; Data mining; Search engine; Artificial intelligence","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":[0.001380978,0.0008327533,0.001570187,0.002266551,0.000555535,0.001644459,0.002426287,0.00149391,0.003955678],"category_scores_gemma":[0.003962443,0.000365514,0.00117979,0.00346124,0.0005226302,0.002679539,0.0007412028,0.0009368062,0.002187377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010845,"about_ca_system_score_gemma":0.0007581529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142086,"about_ca_topic_score_gemma":0.01130077,"domain_scores_codex":[0.9980277,0.0005881872,0.0001667605,0.0005793328,0.0004866844,0.0001512092],"domain_scores_gemma":[0.9985353,0.0005334902,0.0001806643,0.0001911913,0.0004886247,0.00007072561],"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":[0.0003793197,0.0003347041,0.007944806,0.0005707713,0.00061531,0.0006856589,0.0004535159,0.6197347,0.006313133,0.1815601,0.009550645,0.1718574],"study_design_scores_gemma":[0.00002840293,0.0001185059,0.0009978395,0.00001783516,0.00008847516,0.0001790234,0.00002693545,0.9807824,0.0003585227,0.01383462,0.003538686,0.00002872866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04480622,0.001744257,0.9384134,0.0007223786,0.0001583097,0.0002620777,0.001255292,0.0007483602,0.01188971],"genre_scores_gemma":[0.7849479,0.002712913,0.1909379,0.0002700352,0.0002988952,0.0005705872,0.001751325,0.0001014088,0.01840904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0142086,"threshold_uncertainty_score":0.02825183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725208670466617,"score_gpt":0.2684620399446501,"score_spread":0.2212099532399839,"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."}}