{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003105245,0.0001121412,0.0001431036,0.00008146434,0.0001528047,0.0002038047,0.0003580964,0.00005323568,0.001007856],"category_scores_gemma":[0.00001085241,0.0000970758,0.00005225863,0.0001670619,0.00004348636,0.0005452686,0.0002029445,0.00008646996,0.0001840807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003808258,"about_ca_system_score_gemma":0.00004407169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001268534,"about_ca_topic_score_gemma":0.00003959826,"domain_scores_codex":[0.999105,0.0000547007,0.00022289,0.0003087323,0.00009260609,0.0002160184],"domain_scores_gemma":[0.9993675,0.00005101003,0.00007470207,0.0003463911,0.00009055038,0.00006988329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006451709,0.00004496987,0.0008177676,0.00002587762,0.00004884149,0.000004312324,0.001400293,8.438566e-8,0.004546656,0.3362486,0.1893816,0.4674746],"study_design_scores_gemma":[0.000700631,0.0002361222,0.001451694,0.00003289028,0.000003931248,0.0001616808,0.000175612,0.01122643,0.04143704,0.02016163,0.9239767,0.0004356028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002727079,0.00001945378,0.791622,0.003564994,0.0004571942,0.0001450625,0.000001211147,0.000611273,0.2008517],"genre_scores_gemma":[0.8066221,0.00001048398,0.1882998,0.002834042,0.0002308811,0.00002720191,0.00000432749,0.00001304168,0.001958094],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8038951,"threshold_uncertainty_score":0.9999053,"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."}}