{"id":"W3109573830","doi":"10.18280/isi.250514","title":"User-Review Oriented Social Recommender System for Event Planning","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recommender system; Computer science; Event (particle physics); Context (archaeology); Planner; World Wide Web; Product (mathematics); Collaborative filtering; Social media; Information retrieval; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485732,0.0008612399,0.001374833,0.001433739,0.001100078,0.001401107,0.001742075,0.001308638,0.004714582],"category_scores_gemma":[0.003191254,0.0003588609,0.0009934717,0.001588365,0.0002169628,0.001578797,0.0007306628,0.0009484103,0.004108401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006189694,"about_ca_system_score_gemma":0.001151659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01330076,"about_ca_topic_score_gemma":0.02737757,"domain_scores_codex":[0.9986219,0.0003316647,0.0001274037,0.0003336901,0.0004904961,0.00009488335],"domain_scores_gemma":[0.9981014,0.0003981122,0.0001587371,0.0002966957,0.0009181196,0.0001270358],"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":[0.001237379,0.001597686,0.02711505,0.001256511,0.0007633731,0.001624956,0.0008897347,0.04701788,0.03727661,0.01375577,0.05843363,0.8090315],"study_design_scores_gemma":[0.0002074015,0.00100753,0.01432697,0.00009956509,0.0005934956,0.002117042,0.0004917308,0.886759,0.01347066,0.006067594,0.07461338,0.0002456207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1074364,0.006278146,0.836935,0.002211232,0.0009459096,0.001901725,0.003021645,0.006466693,0.03480322],"genre_scores_gemma":[0.6872839,0.003099439,0.2664575,0.0004739627,0.0004860884,0.0006335448,0.003060129,0.0001075978,0.03839787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01330076,"threshold_uncertainty_score":0.02644664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03876049373351353,"score_gpt":0.2847359203975993,"score_spread":0.2459754266640858,"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."}}