{"id":"W4411191822","doi":"10.1007/978-3-031-85386-9_5","title":"Mining Likes and Transactions per User for Cross-Domain Product Recommendation in Social Network and E-Commerce","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in social networks","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Product (mathematics); Domain (mathematical analysis); E-commerce; Computer science; World Wide Web; Social network (sociolinguistics); Business; Social media; 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":[0.001174804,0.00101479,0.001626001,0.004780637,0.0007303074,0.00135538,0.001387578,0.001313586,0.002689511],"category_scores_gemma":[0.005464774,0.0006309797,0.001518581,0.00571527,0.0003247986,0.003093916,0.0007112713,0.001206111,0.002792752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982366,"about_ca_system_score_gemma":0.0005265624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018004,"about_ca_topic_score_gemma":0.02871343,"domain_scores_codex":[0.9990097,0.0002042435,0.000116142,0.0003587437,0.0002302244,0.0000809589],"domain_scores_gemma":[0.9966668,0.002041836,0.0002630107,0.0004482665,0.0004125694,0.0001675161],"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":[0.001242711,0.001843617,0.2759378,0.0006636287,0.001307462,0.0004445494,0.0004352632,0.02909973,0.008068119,0.002876301,0.0241587,0.6539221],"study_design_scores_gemma":[0.00004059748,0.0002955142,0.07903861,0.00008438025,0.0003379552,0.0008045951,0.0005717123,0.9027748,0.003225961,0.007503768,0.005240454,0.0000817015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7867839,0.009050835,0.1748392,0.001338138,0.0002396976,0.0003394982,0.01753114,0.002305533,0.007572092],"genre_scores_gemma":[0.859306,0.001920154,0.106591,0.0001616057,0.0002341654,0.0001756791,0.02320723,0.0001357036,0.008268406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01018004,"threshold_uncertainty_score":0.02024162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094119794798837,"score_gpt":0.2886276411172,"score_spread":0.2676864431692116,"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."}}