{"id":"W3178102066","doi":"10.1145/3451471.3451495","title":"Evaluating the Effectiveness of A Suggested Architecture for The Real-Time Social Recommendation System","year":2021,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Latent Dirichlet allocation; Conversation; Interactivity; Social media; Set (abstract data type); Task (project management); Topic model; Social network (sociolinguistics); Recommender system; World Wide 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":[0.002961318,0.0008825996,0.0006842689,0.0006503837,0.0007299306,0.001211212,0.001813933,0.002189276,0.002980338],"category_scores_gemma":[0.007796993,0.0003898929,0.0004774721,0.000467881,0.0003902836,0.001677546,0.0005340808,0.0007237924,0.0009545638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292916,"about_ca_system_score_gemma":0.001284147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03044784,"about_ca_topic_score_gemma":0.02619784,"domain_scores_codex":[0.9985083,0.0005077849,0.0001568114,0.0003754066,0.0002835411,0.0001682382],"domain_scores_gemma":[0.9958146,0.001879193,0.000152344,0.0005932762,0.001281568,0.0002790211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009026966,0.004466944,0.03578389,0.001354923,0.0007762071,0.0007010408,0.0006578459,0.4328595,0.0827392,0.00343661,0.006525637,0.4216712],"study_design_scores_gemma":[0.0002184832,0.00139365,0.004226959,0.00001262294,0.0001534741,0.00008397914,0.0001099465,0.980922,0.01176347,0.0002464394,0.0008427555,0.00002619343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835559,0.0006399638,0.1020715,0.0004896835,0.0001474218,0.0007855626,0.0003542764,0.007912763,0.004042895],"genre_scores_gemma":[0.9161905,0.0001304128,0.08057542,0.0000620046,0.00001313007,0.0002128616,0.0003554162,0.00005266549,0.002407623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03044784,"threshold_uncertainty_score":0.06054121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707723168733802,"score_gpt":0.3475100150863432,"score_spread":0.3004327833990051,"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."}}