{"id":"W2989864487","doi":"10.1007/978-3-030-34986-8_35","title":"A Content Based e-Commerce Recommendation Approach Under the Veristic Framework","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes on data engineering and communications technologies","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Content (measure theory); Computer science; E-commerce; Information retrieval; Recommender system; World Wide Web; Mathematics","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":[0.001240707,0.0004161826,0.0009146646,0.00214056,0.0009853311,0.002766366,0.002339713,0.001357059,0.005380468],"category_scores_gemma":[0.002415263,0.0004605122,0.0009293584,0.003115658,0.0008603016,0.002738832,0.001659275,0.001115849,0.002539208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322958,"about_ca_system_score_gemma":0.00158028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279613,"about_ca_topic_score_gemma":0.01959141,"domain_scores_codex":[0.9985579,0.0003390325,0.00006140728,0.00021273,0.0007174677,0.0001114654],"domain_scores_gemma":[0.9989787,0.0002791775,0.00004538324,0.000260876,0.00038233,0.00005363735],"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":[0.0002782545,0.0003205948,0.001778078,0.0002704105,0.000218302,0.0003533252,0.0003336206,0.07635862,0.01853047,0.2675245,0.01575726,0.6182766],"study_design_scores_gemma":[0.00003049954,0.000104704,0.0007266473,0.00003602935,0.00007821393,0.0003230363,0.00009127703,0.9322853,0.004895402,0.04644523,0.01492994,0.00005379796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008114807,0.000512774,0.9777645,0.0003491135,0.0000752569,0.00009126298,0.0001918136,0.001036256,0.0118642],"genre_scores_gemma":[0.2864228,0.0009610385,0.6730353,0.0002979799,0.0001755735,0.0001321487,0.0007051633,0.0001870899,0.03808293],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01279613,"threshold_uncertainty_score":0.02544332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09543631720979702,"score_gpt":0.2709053390156017,"score_spread":0.1754690218058047,"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."}}