{"id":"W6991612738","doi":"","title":"Hybrid recommender systems based on autoencoders","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Recommender system; Collaborative filtering; Task (project management); Advice (programming); Chen; Measure (data warehouse)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001698605,0.001082136,0.002397222,0.0009797021,0.0009042331,0.00175279,0.002051389,0.001951415,0.004437256],"category_scores_gemma":[0.003656518,0.001120121,0.001328421,0.001085453,0.0007177373,0.002062008,0.001173549,0.00178358,0.001931692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000947105,"about_ca_system_score_gemma":0.0009041387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021193,"about_ca_topic_score_gemma":0.02593766,"domain_scores_codex":[0.9988824,0.0003015008,0.00007954599,0.0003440936,0.0002758481,0.0001166012],"domain_scores_gemma":[0.9975501,0.001334216,0.0001359478,0.0002427647,0.0006607241,0.00007629204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003541011,0.0001992759,0.001945168,0.0002167686,0.0006310777,0.0002405393,0.0002221178,0.7376446,0.004670078,0.01754538,0.00543947,0.2308914],"study_design_scores_gemma":[0.00001904793,0.00003873675,0.0002476808,0.00001034106,0.00003442418,0.00003578463,0.000009229574,0.9959173,0.0003435539,0.002469328,0.0008601437,0.00001442905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03176576,0.003674401,0.9546728,0.0005765814,0.0003863925,0.00009139379,0.0002328393,0.001343081,0.007256653],"genre_scores_gemma":[0.7130901,0.002587453,0.2600794,0.0006866,0.0005157241,0.0002736071,0.0005263821,0.0001328787,0.02210792],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02021193,"threshold_uncertainty_score":0.04018855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020765970160168,"score_gpt":0.2449742782785825,"score_spread":0.2242083081184145,"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."}}