{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006080815,0.0002020274,0.000364136,0.00009629021,0.0003687596,0.0002698817,0.0005292673,0.00009683886,0.000005049981],"category_scores_gemma":[0.00009813058,0.0001856963,0.0001521266,0.0004322387,0.00002000831,0.002748781,0.0001590863,0.0001144437,0.00003455075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579919,"about_ca_system_score_gemma":0.00006824212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001772153,"about_ca_topic_score_gemma":5.042687e-7,"domain_scores_codex":[0.998298,0.00009157264,0.0008438103,0.0001974221,0.0002581647,0.0003110614],"domain_scores_gemma":[0.9988522,0.00005787605,0.0004990191,0.0002334899,0.0002629865,0.00009443612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000494022,0.00004367772,0.0004823364,0.026161,0.0001948161,0.000006278021,0.02753798,0.00007791967,0.00007611299,0.183587,0.3723256,0.3894578],"study_design_scores_gemma":[0.0009567584,0.0003381591,0.0003532694,0.00387149,0.00004196183,0.0000687785,0.001823471,0.05630467,0.001347023,0.0007233174,0.9334751,0.0006960086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002555948,0.0007163965,0.9904606,0.002564721,0.0005037452,0.001044375,0.00001949447,0.0008843482,0.003550703],"genre_scores_gemma":[0.9549405,0.00009028925,0.03756383,0.00622209,0.0002887507,0.000709756,0.0001338974,0.00002343817,0.00002748112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9546849,"threshold_uncertainty_score":0.7572477,"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."}}