{"id":"W2551183512","doi":"10.5555/3192424.3192499","title":"Twitter message recommendation based on user interest profiles","year":2016,"lang":"en","type":"article","venue":"Advances in Social Networks Analysis and Mining","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Microblogging; Social media; Recommender system; Information retrieval; World Wide Web; Volume (thermodynamics); Track (disk drive); Data science","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":[0.0007826295,0.0007528358,0.0007225819,0.002426747,0.0004965168,0.0007797037,0.0006666677,0.0007217577,0.001825025],"category_scores_gemma":[0.005785261,0.0002185613,0.000568526,0.001804836,0.0001121106,0.001493982,0.0003506881,0.0005895051,0.002583036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005307617,"about_ca_system_score_gemma":0.0005358804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01486233,"about_ca_topic_score_gemma":0.0407763,"domain_scores_codex":[0.9993345,0.0001462393,0.0000628986,0.0001582399,0.0002210701,0.00007695592],"domain_scores_gemma":[0.9977731,0.0008386164,0.0002529329,0.000209871,0.0008126696,0.0001128983],"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":[0.002840252,0.001462965,0.1765163,0.0009295971,0.0007487042,0.0006495104,0.0007598556,0.04800158,0.03632064,0.004277585,0.05615712,0.6713359],"study_design_scores_gemma":[0.0001106545,0.0005778329,0.049849,0.00009698106,0.0004235268,0.0003839306,0.0005182905,0.9098096,0.01896229,0.0029985,0.01616683,0.00010257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7250727,0.004078098,0.2181097,0.002145726,0.0003980779,0.0008959024,0.01572543,0.00503309,0.02854132],"genre_scores_gemma":[0.9248453,0.0008323274,0.05534478,0.0001405071,0.0001505955,0.0001536269,0.009681228,0.00007202406,0.0087795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01486233,"threshold_uncertainty_score":0.02955163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488815829342186,"score_gpt":0.3025892409081704,"score_spread":0.2777010826147485,"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."}}