{"id":"W2889916663","doi":"10.1109/agents.2018.8460053","title":"Personalized Recommendation Considering Secondary Implicit Feedback","year":2018,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"National Research Foundation","keywords":"Recommender system; Computer science; Ranking (information retrieval); Information retrieval; Feature (linguistics); Collaborative filtering; Personalization; E-commerce; 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":[0.002700511,0.001663965,0.003176055,0.002298698,0.0008525114,0.001733398,0.002828215,0.002184191,0.00241778],"category_scores_gemma":[0.0101917,0.0009298725,0.00125035,0.0032544,0.0006894568,0.003441155,0.001221105,0.001562152,0.001623631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009717215,"about_ca_system_score_gemma":0.001594296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01418292,"about_ca_topic_score_gemma":0.03002321,"domain_scores_codex":[0.9962457,0.0009912557,0.000220763,0.0006961142,0.001576627,0.0002694734],"domain_scores_gemma":[0.9935557,0.003291871,0.0004051219,0.0007636603,0.001751402,0.0002322416],"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":[0.000742462,0.0007148199,0.008136002,0.0006861044,0.0005292986,0.0003840103,0.0003699525,0.2880609,0.01003045,0.01257347,0.01076554,0.6670069],"study_design_scores_gemma":[0.00005065169,0.0001494849,0.001136862,0.00003690595,0.0001310654,0.000153906,0.00002497594,0.9874296,0.001621525,0.006834989,0.002383333,0.00004679885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03657563,0.003065618,0.9547095,0.0003993734,0.0001225878,0.0001776692,0.0003973006,0.001141514,0.003410748],"genre_scores_gemma":[0.6744636,0.002026241,0.3087972,0.0005474323,0.0006620405,0.00034259,0.001699901,0.0001855618,0.01127529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01418292,"threshold_uncertainty_score":0.02820075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966451872868496,"score_gpt":0.2791044861115545,"score_spread":0.2494399673828695,"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."}}