{"id":"W2914428334","doi":"","title":"Unsupervised Topic Modelling in a Book Recommender System for New Users.","year":2017,"lang":"en","type":"article","venue":"International ACM SIGIR Conference on Research and Development in Information Retrieval","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Recommender system; Computer science; Information retrieval; World Wide Web; 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":[0.002850079,0.0005750952,0.001336825,0.001342286,0.0007976202,0.001401173,0.002016174,0.001778615,0.001656314],"category_scores_gemma":[0.008880114,0.0006121131,0.001147719,0.001651726,0.0003500199,0.002664869,0.0009931845,0.001821271,0.002191497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006242777,"about_ca_system_score_gemma":0.0009223212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676164,"about_ca_topic_score_gemma":0.04394415,"domain_scores_codex":[0.998798,0.0006178397,0.00007942966,0.0002280535,0.0001838556,0.00009282266],"domain_scores_gemma":[0.995405,0.003304762,0.0001238668,0.000380905,0.0006358612,0.0001495451],"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":[0.003135357,0.001254022,0.02612171,0.0006306647,0.0009465612,0.0005103379,0.001454697,0.1845331,0.01902933,0.01152739,0.06092421,0.6899326],"study_design_scores_gemma":[0.00005490733,0.00008498781,0.002326877,0.00001206778,0.0001166053,0.0001012747,0.00009374909,0.9891148,0.001997967,0.003282148,0.002783946,0.0000306975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1421382,0.004838529,0.8399957,0.001698861,0.0004142038,0.0003221236,0.00202432,0.003955225,0.004612784],"genre_scores_gemma":[0.60966,0.001340843,0.370025,0.0003483326,0.0007115659,0.000277963,0.00378239,0.0004084315,0.0134454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01676164,"threshold_uncertainty_score":0.03332812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2121619465191949,"score_gpt":0.3764098487742873,"score_spread":0.1642479022550924,"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."}}