{"id":"W1979770135","doi":"10.1007/s11257-012-9130-3","title":"Exploring social tagging for personalized community recommendations","year":2012,"lang":"en","type":"article","venue":"User Modeling and User-Adapted Interaction","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Collaborative filtering; Social media; Context (archaeology); World Wide Web; Data science; Focus (optics); Social web; Recommender system; Quality (philosophy); Social network (sociolinguistics); Semantic Web; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002264539,0.0006821413,0.0009859242,0.002166122,0.001107191,0.002163872,0.001389086,0.001371486,0.001795193],"category_scores_gemma":[0.01261273,0.0006526075,0.001176043,0.00270342,0.0005694434,0.004509893,0.001216856,0.001298903,0.0007202043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008732374,"about_ca_system_score_gemma":0.0007116256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083187,"about_ca_topic_score_gemma":0.02592328,"domain_scores_codex":[0.9981695,0.0009726037,0.00007632427,0.0003887344,0.0002900643,0.0001026696],"domain_scores_gemma":[0.9924936,0.005431524,0.0003100201,0.0009571292,0.0006147221,0.0001929252],"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":[0.001330464,0.001828684,0.07828269,0.0009559059,0.001241335,0.0008110657,0.006108071,0.2544045,0.02494107,0.09433544,0.01467511,0.5210857],"study_design_scores_gemma":[0.00001353616,0.00005072129,0.002115172,0.00002368617,0.00007004754,0.0001106437,0.0001942561,0.970063,0.001467285,0.02371085,0.002152722,0.00002801753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1750895,0.0008659944,0.8185298,0.0005579096,0.00008194576,0.000117394,0.0005328368,0.0007856383,0.003439],"genre_scores_gemma":[0.85137,0.0003858767,0.1437065,0.0001043015,0.00006340651,0.00007982731,0.000709751,0.0001333348,0.003446976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01083187,"threshold_uncertainty_score":0.0215376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3173522404689434,"score_gpt":0.3554680200066084,"score_spread":0.03811577953766493,"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."}}