{"id":"W2537477755","doi":"10.5555/2873013.3001909","title":"Distributed recommender system for online processing of big social data","year":2015,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Recommender system; Exploit; World Wide Web; Big data; Process (computing); Information retrieval; Social network (sociolinguistics); User profile; Social media; Personalization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00353187,0.0007223626,0.002105389,0.001129467,0.001501697,0.001473697,0.002848896,0.001818968,0.002651538],"category_scores_gemma":[0.00742813,0.0006196446,0.001112201,0.001364018,0.0005753296,0.002098521,0.001389779,0.001693321,0.001429044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009352735,"about_ca_system_score_gemma":0.001392474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121748,"about_ca_topic_score_gemma":0.01656591,"domain_scores_codex":[0.9977534,0.0006959368,0.0001539455,0.0005943893,0.0006508564,0.0001514568],"domain_scores_gemma":[0.9947144,0.002277116,0.0003123383,0.001086023,0.001324732,0.0002852793],"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":[0.0008925513,0.0006243099,0.00683477,0.0005730653,0.0008060669,0.0008898774,0.0006036057,0.5315083,0.02382977,0.0524918,0.0163968,0.364549],"study_design_scores_gemma":[0.0000451869,0.00008002061,0.0004494324,0.000008982089,0.0000354762,0.00008216179,0.00004485762,0.985828,0.001280281,0.008142699,0.003978634,0.00002418129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01037523,0.0005468684,0.9859411,0.0003050732,0.0001288506,0.0001189744,0.0001223571,0.001475084,0.0009864295],"genre_scores_gemma":[0.3644611,0.0006898175,0.6274428,0.0002625929,0.000302121,0.0003925521,0.0006329451,0.0001242686,0.005691755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01121748,"threshold_uncertainty_score":0.02230436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2726427564345787,"score_gpt":0.3610984001560261,"score_spread":0.08845564372144732,"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."}}