{"id":"W2010405489","doi":"10.1109/services.2014.11","title":"Personalized Search: An Interactive and Iterative Approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Personalization; The Internet; Personalized search; Extensibility; Information retrieval; Human–computer interaction; World Wide Web","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":[0.006299783,0.001194972,0.001374767,0.00266336,0.001638436,0.00342,0.003777082,0.002145924,0.004777113],"category_scores_gemma":[0.01999131,0.001355222,0.001461935,0.002004475,0.002170719,0.005626062,0.004649495,0.00206405,0.002265855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008188,"about_ca_system_score_gemma":0.002080496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005013292,"about_ca_topic_score_gemma":0.008686224,"domain_scores_codex":[0.9901847,0.005176621,0.0003808884,0.001336396,0.002551178,0.0003701886],"domain_scores_gemma":[0.9854361,0.009922844,0.0005564488,0.002373916,0.001335544,0.0003750217],"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":[0.0009229836,0.001110766,0.01650545,0.00139707,0.0009010535,0.0009081097,0.02339044,0.05458341,0.03369973,0.1148345,0.01165835,0.7400882],"study_design_scores_gemma":[0.0002868455,0.001086129,0.008610559,0.0004237015,0.0008225982,0.002334135,0.004734941,0.6428726,0.02491431,0.1997553,0.1135582,0.0006006071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01585965,0.0004627667,0.9677952,0.0005762812,0.00002584938,0.0004388197,0.00008380857,0.002539415,0.01221815],"genre_scores_gemma":[0.3293552,0.0005428218,0.6581542,0.0002840484,0.00007151222,0.0005672412,0.0003122151,0.0003399968,0.01037287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006299783,"threshold_uncertainty_score":0.03331679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355609826579436,"score_gpt":0.2934102711003897,"score_spread":0.2498541728345953,"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."}}