{"id":"W7126163923","doi":"10.18280/isi.301202","title":"Enhancing Sequential Recommendation with Multi-Intent Detection and Preference Scoring from Implicit Transactions","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preference; Task (project management); Feature (linguistics); Scale (ratio); Selection (genetic algorithm)","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":[0.002478936,0.001254757,0.001903866,0.002203158,0.0005665827,0.001586695,0.00145221,0.001218048,0.002004886],"category_scores_gemma":[0.01110137,0.0006573789,0.000958521,0.002249159,0.0003219635,0.002926751,0.001340854,0.001722966,0.0015705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003412402,"about_ca_system_score_gemma":0.00096212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005600044,"about_ca_topic_score_gemma":0.0142377,"domain_scores_codex":[0.9974843,0.0006989773,0.0002029989,0.0003800288,0.00103236,0.000201308],"domain_scores_gemma":[0.9894781,0.005134967,0.0005565879,0.00130827,0.003130933,0.0003911681],"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":[0.00105715,0.001505479,0.02295328,0.000382538,0.0004243781,0.0002277465,0.0002381179,0.04421112,0.02907226,0.004433366,0.008177899,0.8873167],"study_design_scores_gemma":[0.00003471029,0.0002320445,0.003358789,0.00001693452,0.00008291447,0.0001260414,0.00004187192,0.9869071,0.004971748,0.003261147,0.0009318312,0.00003481373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1174927,0.001003892,0.8762158,0.0003298535,0.0002251981,0.0001781323,0.0003541432,0.001405935,0.002794425],"genre_scores_gemma":[0.6858158,0.000397873,0.3051648,0.0001792337,0.0002675203,0.0001158331,0.001130339,0.0001257694,0.006802894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005600044,"threshold_uncertainty_score":0.01311004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004700872221817,"score_gpt":0.2515789050835028,"score_spread":0.2215318963612847,"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."}}