{"id":"W4394566016","doi":"10.36227/techrxiv.171259571.14656666/v1","title":"Personalized Context-Oriented Job Recommendation System Based On Knowledge Graph","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Recommender system; Graph; Context (archaeology); Knowledge graph; Knowledge management; Information retrieval; Theoretical computer science; Geography","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":[0.0003174183,0.0005496429,0.0006867416,0.001840651,0.0008099029,0.0007483428,0.000984383,0.0007431089,0.003499888],"category_scores_gemma":[0.001133641,0.0002273551,0.0007221847,0.001489052,0.000125059,0.001328418,0.000729521,0.0006123637,0.001561678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140472,"about_ca_system_score_gemma":0.000717618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01658127,"about_ca_topic_score_gemma":0.03374773,"domain_scores_codex":[0.9996862,0.00003873227,0.00002689602,0.000136889,0.00007995551,0.00003127077],"domain_scores_gemma":[0.9996297,0.00009637945,0.00002825151,0.00008072443,0.0001095948,0.00005532685],"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":[0.001070955,0.001036339,0.02074187,0.0005387193,0.0003572796,0.00117592,0.0005800924,0.04356067,0.02586247,0.008725551,0.06097746,0.8353726],"study_design_scores_gemma":[0.0001363995,0.0002804574,0.01334855,0.0000650608,0.0004223588,0.000753239,0.0004793912,0.9366425,0.01205588,0.01028312,0.0254039,0.0001290685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2034996,0.003002757,0.7369153,0.001497026,0.0006148763,0.0007966848,0.007603324,0.02359401,0.02247642],"genre_scores_gemma":[0.7245627,0.001406342,0.2513253,0.0004895821,0.0001680727,0.0003022502,0.007070562,0.0002121269,0.01446301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01658127,"threshold_uncertainty_score":0.03296953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210422089316523,"score_gpt":0.2915909820709379,"score_spread":0.2594867611777727,"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."}}