{"id":"W889610322","doi":"10.1007/s11042-015-2813-0","title":"Tag-based personalized recommendation in social media services","year":2015,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Social media; Measure (data warehouse); Graph; Adaptation (eye); Information retrieval; Undirected graph; World Wide Web; Data science; Theoretical computer science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314267,0.00009957414,0.0001436293,0.00009089432,0.0000990055,0.0001616821,0.0002763664,0.00006962781,0.000009931564],"category_scores_gemma":[0.00001294499,0.00009267959,0.00002656497,0.0002669462,0.00003150821,0.0003309374,0.00007128913,0.00008564474,0.0000174661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003975756,"about_ca_system_score_gemma":0.00004496005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007874153,"about_ca_topic_score_gemma":0.0001032683,"domain_scores_codex":[0.9991984,0.000055097,0.0002117316,0.0002638713,0.0001217863,0.0001490726],"domain_scores_gemma":[0.9994266,0.0001559735,0.00008484325,0.0001694635,0.00006526637,0.00009783483],"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":[0.000007369421,0.0001854613,0.003256744,0.00004530718,0.000008889931,0.000001223987,0.00509004,0.000003766672,0.0002801699,0.03511166,0.00412304,0.9518864],"study_design_scores_gemma":[0.002778814,0.00004576319,0.01572311,0.00004197323,0.00001091321,0.000006151247,0.001203915,0.1816126,0.0009470736,0.01391383,0.7831655,0.0005503624],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005791665,0.0002702768,0.9743285,0.01197116,0.0002273014,0.001192507,0.00007992748,0.0005285967,0.005610031],"genre_scores_gemma":[0.8573741,0.00003542257,0.1393187,0.0008184494,0.0004317819,0.00166316,0.0002853862,0.000017361,0.00005553934],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.951336,"threshold_uncertainty_score":0.3779364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07084952420365344,"score_gpt":0.3030973503400279,"score_spread":0.2322478261363745,"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."}}