{"id":"W4412841400","doi":"10.1145/3757327","title":"A Comparative Survey Of Algorithmic Feed Recommendation System Designs","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Recommender Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Information retrieval; Data science","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":[0.0184131,0.0009478169,0.0009249239,0.007443119,0.0009415357,0.00482856,0.001441623,0.001850171,0.002827279],"category_scores_gemma":[0.06215117,0.00109529,0.001164466,0.009359284,0.0008977815,0.007759325,0.001096036,0.001070043,0.001671557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444742,"about_ca_system_score_gemma":0.001481186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002817461,"about_ca_topic_score_gemma":0.003764417,"domain_scores_codex":[0.9808471,0.007262876,0.0031088,0.001614791,0.006507628,0.0006588238],"domain_scores_gemma":[0.9241543,0.05344979,0.003203325,0.006372229,0.01213143,0.0006888573],"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":[0.0008102468,0.0002822454,0.0521697,0.007138908,0.0003903692,0.0001391738,0.004663222,0.004019368,0.007260174,0.01781418,0.009122008,0.8961905],"study_design_scores_gemma":[0.0003158457,0.00551206,0.1702753,0.008199023,0.001339482,0.005005179,0.0127633,0.05719616,0.04041736,0.01452113,0.6836222,0.0008329492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5552731,0.08571675,0.2813888,0.003852233,0.0003281772,0.001470326,0.004314177,0.004628517,0.06302794],"genre_scores_gemma":[0.568391,0.04329481,0.3672948,0.0009082108,0.0001849422,0.0009122367,0.007144615,0.001028083,0.01084125],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0184131,"threshold_uncertainty_score":0.09737891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102181417286145,"score_gpt":0.3294324895136431,"score_spread":0.227251072227498,"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."}}