{"id":"W4404344839","doi":"10.48550/arxiv.2411.00341","title":"A Survey on Bundle Recommendation: Methods, Applications, and Challenges","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Bundle; Computer science; Bundle adjustment; Data science; Artificial intelligence; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.005440727,0.002394132,0.003516663,0.005434077,0.001136376,0.003559761,0.002946442,0.002610577,0.008253413],"category_scores_gemma":[0.02317307,0.001730948,0.002464784,0.01565833,0.0006135918,0.007675646,0.001608764,0.002397054,0.009309947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066257,"about_ca_system_score_gemma":0.001923965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168855,"about_ca_topic_score_gemma":0.01232942,"domain_scores_codex":[0.995024,0.001465284,0.0005863219,0.001017651,0.001730323,0.0001764247],"domain_scores_gemma":[0.9837287,0.01078194,0.0003486112,0.002045119,0.002875337,0.0002201969],"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":[0.0001510542,0.000186154,0.004493842,0.004894334,0.0003200393,0.00004809578,0.0001707951,0.007216678,0.001086794,0.007036642,0.04587213,0.9285234],"study_design_scores_gemma":[0.0001803392,0.0008885878,0.0128474,0.005368495,0.001200314,0.001915676,0.0008116575,0.2057313,0.005379709,0.04605789,0.7191618,0.0004567328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01159982,0.532416,0.4293363,0.004062814,0.0012256,0.0004355789,0.003470895,0.003169202,0.01428378],"genre_scores_gemma":[0.05251675,0.5720747,0.3514335,0.002119118,0.002294602,0.000486428,0.009704228,0.0006861665,0.008684545],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01168855,"threshold_uncertainty_score":0.02877367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2373370112375228,"score_gpt":0.2720765801573096,"score_spread":0.03473956891978677,"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."}}