{"id":"W3008291289","doi":"10.1109/bigdata47090.2019.9005459","title":"News Recommender System Considering Temporal Dynamics and News Taxonomy","year":2019,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Recommender system; Computer science; Information retrieval; Collaborative filtering; Preference; Event (particle physics); Matrix decomposition; Term (time); Dynamics (music); Process (computing); 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":[0.001853192,0.0004994508,0.00113509,0.001281876,0.0007163781,0.0008793037,0.001251519,0.001180558,0.001383604],"category_scores_gemma":[0.005661119,0.0004293476,0.0007512559,0.001448871,0.0002401013,0.002080134,0.0004637707,0.0008753968,0.001029218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008459364,"about_ca_system_score_gemma":0.0009555157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03353035,"about_ca_topic_score_gemma":0.05476936,"domain_scores_codex":[0.9990829,0.0002205204,0.00006994365,0.0003194425,0.0002210118,0.0000861853],"domain_scores_gemma":[0.9973579,0.001040303,0.0003156772,0.0002399543,0.000938575,0.0001076243],"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":[0.001208949,0.0005894492,0.06151012,0.0006901224,0.0006953726,0.001025265,0.001393609,0.2882832,0.02576542,0.03510746,0.01949276,0.5642383],"study_design_scores_gemma":[0.00002662584,0.00008985475,0.003393305,0.00001296403,0.00007046662,0.0002084855,0.00005836598,0.9896607,0.0007579276,0.003283245,0.002411818,0.00002616683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2055217,0.002760631,0.7807111,0.001445893,0.00024529,0.0002594366,0.001399692,0.00122877,0.006427584],"genre_scores_gemma":[0.8221655,0.001260336,0.1630295,0.0002694569,0.0002527832,0.0001699294,0.001708779,0.00004861177,0.01109511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03353035,"threshold_uncertainty_score":0.06667036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059750411453824,"score_gpt":0.2293405755759687,"score_spread":0.1987430714614305,"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."}}