{"id":"W2047432893","doi":"10.1016/j.is.2014.09.001","title":"Profile Diversity for Query Processing using User Recommendations","year":2014,"lang":"en","type":"article","venue":"Information Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nautical Research Society","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Information retrieval; Diversity (politics); Web search query; Query optimization; Search engine","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":[0.0008139228,0.00009776789,0.0001485689,0.0001609454,0.0005374941,0.0005325836,0.0003970275,0.00006813928,0.000001906268],"category_scores_gemma":[0.00003167827,0.00008898007,0.00004783347,0.0001938737,0.000009069064,0.004143084,0.0002203292,0.00005387182,0.00002292216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008439468,"about_ca_system_score_gemma":0.00004271095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001983206,"about_ca_topic_score_gemma":0.000002844931,"domain_scores_codex":[0.9990534,0.00006252888,0.0004130522,0.0001158459,0.0001818986,0.0001732583],"domain_scores_gemma":[0.9990085,0.00005361778,0.000338132,0.0002762284,0.0002713309,0.00005221451],"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":[0.00001465067,0.00008447734,0.006456701,0.00183906,0.00006360524,3.439853e-7,0.01516305,0.001031792,0.0001965848,0.4041227,0.1038036,0.4672234],"study_design_scores_gemma":[0.0002315149,0.0000323272,0.0001323325,0.0001238047,0.000003907391,0.00001492968,0.0002816895,0.5574669,0.0002502541,0.0002699662,0.4410264,0.0001659919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008131179,0.00001547507,0.9917749,0.0002661966,0.0007837989,0.0006320421,0.00000991176,0.0003521438,0.005352416],"genre_scores_gemma":[0.9174497,0.000001453105,0.08187959,0.0002370397,0.0001205506,0.0001221155,0.00002771714,0.000005624187,0.0001561896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9166366,"threshold_uncertainty_score":0.5135716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04397560426400225,"score_gpt":0.2785230375405496,"score_spread":0.2345474332765474,"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."}}