{"id":"W4396232458","doi":"10.23977/acss.2024.080303","title":"Design of personalized action recommendation system based on mobile platform","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Computer science; Human–computer interaction; Recommender system; World Wide Web","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":[0.0004629985,0.000117135,0.0002069886,0.0004506005,0.00006931981,0.0001331516,0.00008711508,0.00007243625,0.00001330163],"category_scores_gemma":[0.000004881301,0.00009975864,0.00002792848,0.0004942217,0.00004280152,0.0008333049,0.00002577968,0.0001077153,0.00001597952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003545492,"about_ca_system_score_gemma":0.000009875049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005735983,"about_ca_topic_score_gemma":0.00000532936,"domain_scores_codex":[0.9992046,0.000017752,0.0003312292,0.00021701,0.0001085099,0.000120847],"domain_scores_gemma":[0.999508,0.0001807903,0.0001336186,0.000107263,0.0000659299,0.000004386537],"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":[0.0001602965,0.0002254129,0.00390601,0.007301394,0.00009354079,0.00003138382,0.0002051607,0.2123481,0.001246176,0.3209426,0.00205252,0.4514874],"study_design_scores_gemma":[0.0003116264,0.00005997276,0.00004431955,0.0009025752,0.00001293648,0.000003670812,0.000352045,0.9753351,0.00006005574,0.0005630483,0.02223742,0.0001172513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02257204,0.001712418,0.9716877,0.0002826891,0.001586677,0.0006196229,0.000004632432,0.000261237,0.001272926],"genre_scores_gemma":[0.9985578,0.00005954937,0.0007613319,0.0001570157,0.0003026508,0.0001052519,0.0000282203,0.00001255609,0.00001559525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9759858,"threshold_uncertainty_score":0.4068039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04636827807209483,"score_gpt":0.2888208168781317,"score_spread":0.2424525388060368,"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."}}