{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006718728,0.0001009026,0.0002361495,0.00005406185,0.00007033975,0.00009186756,0.001280991,0.00006474506,4.955315e-7],"category_scores_gemma":[0.00002966548,0.00007912732,0.00003598653,0.0002252039,0.00001540459,0.000383424,0.0005144716,0.00005020578,8.179693e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000573465,"about_ca_system_score_gemma":0.0001343397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001023716,"about_ca_topic_score_gemma":0.00003505698,"domain_scores_codex":[0.9989386,0.00004794122,0.0003524564,0.0003068328,0.0001738261,0.0001803459],"domain_scores_gemma":[0.9988695,0.00003721763,0.0001912815,0.0005993476,0.0002361256,0.0000665482],"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":[0.00001905825,0.0003013492,0.0003246496,0.0006436823,0.00005887634,0.000002595458,0.0006774874,0.000001839542,0.0001258678,0.05426816,0.288911,0.6546654],"study_design_scores_gemma":[0.002795093,0.0004195855,0.0003629056,0.0003512851,0.00004671977,0.00007017333,0.00283936,0.5080521,0.006035601,0.006165211,0.4720047,0.0008572999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001847676,0.00007270533,0.9951691,0.001889699,0.0003403757,0.0002562323,0.0002054426,0.0003694126,0.00151229],"genre_scores_gemma":[0.7803153,0.000001027536,0.2189952,0.00008380779,0.0002312244,0.00002270479,0.0002613597,0.00001027503,0.00007909678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7801305,"threshold_uncertainty_score":0.3226719,"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."}}