{"id":"W1986416215","doi":"10.1145/604045.604052","title":"Towards more conversational and collaborative recommender systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Recommender system; Collaborative filtering; Set (abstract data type); Human–computer interaction; World Wide Web","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":[0.01733252,0.001320783,0.001620103,0.001114215,0.00140562,0.004948878,0.003539546,0.005480356,0.004486772],"category_scores_gemma":[0.03591046,0.001262489,0.001381182,0.001116256,0.00182665,0.01125811,0.005059425,0.004977001,0.002596255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009323406,"about_ca_system_score_gemma":0.001589553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002816733,"about_ca_topic_score_gemma":0.003432084,"domain_scores_codex":[0.9792255,0.01465414,0.0007160689,0.00200386,0.003018949,0.0003814529],"domain_scores_gemma":[0.9746046,0.01482261,0.001334315,0.004989361,0.003328074,0.0009210168],"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":[0.001151822,0.002015307,0.005865221,0.00258914,0.0007989437,0.0004669709,0.01304243,0.0983024,0.04323933,0.3177927,0.01652887,0.4982069],"study_design_scores_gemma":[0.0003454374,0.0005573905,0.002126035,0.0002629108,0.0002896129,0.0002860781,0.001893587,0.656683,0.00873062,0.2647886,0.0638316,0.0002051542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01800063,0.001016134,0.971359,0.002673791,0.0001010888,0.0002413518,0.00009368089,0.0009998423,0.005514457],"genre_scores_gemma":[0.1740302,0.001191102,0.8180081,0.001004646,0.0004010178,0.0004906866,0.0003855746,0.0001339972,0.004354713],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01733252,"threshold_uncertainty_score":0.09166425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052243847938162,"score_gpt":0.2619535420793662,"score_spread":0.2414311035999845,"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."}}