{"id":"W2914064065","doi":"10.3166/isi.23.5.139-157","title":"A hybrid collaborative filtering model with context and folksonomy for social recommendation","year":2018,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Folksonomy; Collaborative filtering; Computer science; Context (archaeology); World Wide Web; Information retrieval; Recommender system; Geography","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":[0.001968293,0.0008472649,0.002524391,0.002369726,0.001297404,0.002063453,0.003101797,0.002632236,0.003132634],"category_scores_gemma":[0.005697511,0.0007049906,0.001720397,0.003511881,0.0005589054,0.004545365,0.001044992,0.001361229,0.001474236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255068,"about_ca_system_score_gemma":0.001816844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03117576,"about_ca_topic_score_gemma":0.04815437,"domain_scores_codex":[0.9984635,0.0004787172,0.0001152119,0.0004841304,0.000313952,0.0001444037],"domain_scores_gemma":[0.9973695,0.001394063,0.0001150678,0.0003464092,0.0006552411,0.0001196723],"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":[0.0009554223,0.001305546,0.009184785,0.0005767079,0.000946795,0.0004126906,0.0005262686,0.4410543,0.00583602,0.04159572,0.01287333,0.4847324],"study_design_scores_gemma":[0.00002585259,0.00005216548,0.000509464,0.00001633223,0.0000776755,0.0000830113,0.0000181008,0.9923298,0.0003266542,0.005605577,0.0009287196,0.00002668276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04324547,0.0022723,0.9483468,0.000748617,0.0002116983,0.0001754813,0.0007074311,0.0009512624,0.00334096],"genre_scores_gemma":[0.6209093,0.001756575,0.3627707,0.0004388729,0.0004648752,0.0004202366,0.001434946,0.0001136651,0.01169083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03117576,"threshold_uncertainty_score":0.06198859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331812171318036,"score_gpt":0.2548901662919357,"score_spread":0.2315720445787554,"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."}}