{"id":"W4406063205","doi":"10.1016/j.engappai.2024.109936","title":"DSRS: DELIGHT sequential recommender system","year":2025,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Ningbo Municipal Bureau of Science and Technology","keywords":"Computer science; Recommender system; Artificial intelligence; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.0003157254,0.0001313796,0.0001863862,0.0002796987,0.00008401927,0.00008505088,0.0009101968,0.00007552754,0.000004223466],"category_scores_gemma":[0.00001775693,0.0001365014,0.00007732631,0.0008316155,0.00002228813,0.0001624175,0.0001672575,0.0001193387,0.0000266428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008067778,"about_ca_system_score_gemma":0.00004550902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005827923,"about_ca_topic_score_gemma":0.000004018868,"domain_scores_codex":[0.9988228,0.00002172259,0.0005345027,0.000304624,0.0001287527,0.0001876196],"domain_scores_gemma":[0.9988821,0.00009619644,0.00009876208,0.000739322,0.0001374489,0.00004621959],"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":[8.580491e-7,0.00003419425,0.000006756144,0.00008464567,0.00002051916,4.22945e-7,0.00006181755,0.001050771,0.002439294,0.912978,0.000385828,0.08293691],"study_design_scores_gemma":[0.00002141203,0.00003283588,0.00001852576,0.0002211064,0.00001515652,0.000009793705,0.000169531,0.4723171,0.4613208,0.01544585,0.05012421,0.0003036427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001466934,0.0002043373,0.9957682,0.0006147276,0.0003429684,0.0003560352,0.000003020402,0.0005600246,0.002003952],"genre_scores_gemma":[0.8585217,0.00001475864,0.1410016,0.00002705,0.00005487886,0.0003073335,0.000002205224,0.000008068308,0.00006243674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8975322,"threshold_uncertainty_score":0.5566365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201911927013266,"score_gpt":0.2798424940936194,"score_spread":0.2578233748234868,"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."}}