{"id":"W4385060564","doi":"10.1007/978-3-031-38333-5_29","title":"RKTUP Framework: Enhancing Recommender Systems with Compositional Relations in Knowledge Graphs","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"MovieLens; Computer science; Recommender system; Knowledge graph; Relation (database); Embedding; Graph; Task (project management); Translation (biology); Artificial intelligence; Information retrieval; Machine learning; Theoretical computer science; Collaborative filtering; Data mining; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001056078,0.0006320204,0.001080204,0.0007602223,0.0002080715,0.0005306763,0.0005723646,0.001178634,0.000005741414],"category_scores_gemma":[0.00002285009,0.0005263615,0.0001201915,0.0004620689,0.00006941611,0.0002257106,0.0002437455,0.001628655,0.00001274165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440039,"about_ca_system_score_gemma":0.00009668703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003938657,"about_ca_topic_score_gemma":0.001552242,"domain_scores_codex":[0.9967309,0.0002408588,0.001099631,0.000986704,0.0003623623,0.0005795665],"domain_scores_gemma":[0.9968793,0.001630745,0.0004637128,0.000758981,0.0001300322,0.0001372785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001651257,0.00004317292,0.001355214,0.0004710297,0.0001647953,0.0001178268,0.001023056,0.05362766,0.000002264048,0.9368892,0.001906343,0.004382871],"study_design_scores_gemma":[0.0009982322,0.0004318405,0.0006325881,0.03041814,0.00006286727,0.0004835899,0.00005879511,0.7971893,0.000004254514,0.140271,0.02704022,0.002409161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002652496,0.01921674,0.9518542,0.0003055377,0.0026561,0.001242987,0.00001413096,0.0003917847,0.02429197],"genre_scores_gemma":[0.9854253,0.001427379,0.004337421,0.0001380111,0.0009372322,0.00039833,0.00009815002,0.0001771487,0.007061061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9853988,"threshold_uncertainty_score":0.9997188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386635591196934,"score_gpt":0.250923987171444,"score_spread":0.2270576312594746,"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."}}