{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005595104,0.0008944512,0.002736496,0.003045646,0.001575769,0.002650287,0.002619873,0.001815481,0.002908242],"category_scores_gemma":[0.02337562,0.0008747298,0.001440253,0.003256583,0.0007887197,0.005088547,0.002358654,0.002461927,0.001750468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203339,"about_ca_system_score_gemma":0.001525204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006337745,"about_ca_topic_score_gemma":0.006514051,"domain_scores_codex":[0.9953909,0.001465713,0.0002696168,0.0008775454,0.001554231,0.0004420026],"domain_scores_gemma":[0.985284,0.00866417,0.0004780175,0.002834796,0.002231681,0.0005074179],"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":[0.002611592,0.0008677749,0.0103196,0.0003345718,0.0005087357,0.0002838807,0.0007084322,0.1655263,0.022304,0.03085907,0.01081786,0.7548581],"study_design_scores_gemma":[0.0000462642,0.0001684728,0.0009801629,0.00001541398,0.00006619277,0.0001403655,0.00009505235,0.9770967,0.00444307,0.01542412,0.001490349,0.00003385345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04516061,0.001166447,0.9499347,0.0003573234,0.00009768208,0.0001770586,0.0003202269,0.001403016,0.001383009],"genre_scores_gemma":[0.6697478,0.0006929859,0.3238275,0.0002238205,0.0003641992,0.0002282886,0.00101318,0.0002130204,0.003689269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006337745,"threshold_uncertainty_score":0.02959007,"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."}}