{"id":"W2533413719","doi":"10.1145/2983323.2983701","title":"Social Recommendation with Strong and Weak Ties","year":2016,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Interpersonal ties; Computer science; Recommender system; Pairwise comparison; Ranking (information retrieval); Crowdsourcing; Exploit; Artificial intelligence; Machine learning; Strong ties; Social network (sociolinguistics); Intuition; Bayesian probability; Bayesian network; Data science; Social media; World Wide Web; Psychology; Computer security; Social psychology","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":[0.0001117199,0.00005036644,0.00006030839,0.00003005418,0.00007117733,0.00007410123,0.0001084713,0.00002202842,0.00002274096],"category_scores_gemma":[0.000001491589,0.00002559883,0.000008624397,0.00004167491,0.00001676983,0.0004157193,0.00006600958,0.00001945495,0.000004741968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001332268,"about_ca_system_score_gemma":0.000008831621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003219246,"about_ca_topic_score_gemma":0.00003073498,"domain_scores_codex":[0.9996318,0.00002405478,0.00007042721,0.0001320143,0.0000532624,0.00008848562],"domain_scores_gemma":[0.9998152,0.00002347304,0.00003253786,0.00008628311,0.00002068969,0.00002179746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001985338,0.000008338538,0.002474959,0.000003857557,0.00000863421,3.031472e-7,0.0001800251,4.124182e-9,0.0001881725,0.4136771,0.01701686,0.5664397],"study_design_scores_gemma":[0.00239292,0.001046311,0.0381087,0.0001553335,0.00001296274,0.0001099785,0.0006461781,0.001779685,0.02507371,0.04574903,0.8837978,0.001127375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001994215,0.000005248296,0.9432257,0.01321632,0.0000415074,0.00006197156,4.095983e-7,0.0002063195,0.04124835],"genre_scores_gemma":[0.9762469,0.000007322953,0.02181838,0.0000815415,0.00004256195,0.00001087917,2.945586e-7,0.000003273906,0.001788841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9742527,"threshold_uncertainty_score":0.104389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608663920067936,"score_gpt":0.2594110181403761,"score_spread":0.2333243789396967,"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."}}