{"id":"W2135598826","doi":"10.1145/1864708.1864736","title":"A matrix factorization technique with trust propagation for recommendation in social networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1652,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Recommender system; Computer science; Collaborative filtering; Matrix decomposition; Social network (sociolinguistics); Cold start (automotive); Information retrieval; Social media; Data science; World Wide Web; Engineering","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":[0.00368165,0.00183613,0.001763988,0.002255044,0.001387704,0.001487142,0.002312711,0.00223072,0.003249119],"category_scores_gemma":[0.0149234,0.0008582158,0.002502631,0.004351508,0.001180411,0.004242012,0.001211196,0.002559792,0.001904179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512907,"about_ca_system_score_gemma":0.00130597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0236019,"about_ca_topic_score_gemma":0.02202311,"domain_scores_codex":[0.9970432,0.001311569,0.000139395,0.0005220222,0.0008108148,0.0001729597],"domain_scores_gemma":[0.9932652,0.00427233,0.0005320462,0.0008109928,0.0009931783,0.0001263171],"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":[0.0002464722,0.0002602792,0.002284546,0.0003642369,0.0004595296,0.0003478965,0.0005270055,0.6459247,0.004285005,0.09217063,0.01016424,0.2429655],"study_design_scores_gemma":[0.000012389,0.00003744452,0.0001407879,0.00001219055,0.00003192525,0.00006135899,0.00001807674,0.9830073,0.0003603505,0.01483027,0.001469016,0.0000188357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001997452,0.0002954654,0.9966469,0.000162871,0.00005571032,0.00005059456,0.00006050366,0.0001641733,0.0005663317],"genre_scores_gemma":[0.2324095,0.001980835,0.7571024,0.0002831711,0.0004786628,0.000555335,0.000618517,0.0001140149,0.006457507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0236019,"threshold_uncertainty_score":0.046929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377732038345525,"score_gpt":0.2777641883288762,"score_spread":0.263986867945421,"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."}}