{"id":"W66730126","doi":"10.29173/cais466","title":"Users' Interactions with the Excite Web Search Engine: A Query Reformulation and Relevance Feedback Analysis","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Search engine; Transaction log; Relevance feedback; Information retrieval; Computer science; Query expansion; Web search query; World Wide Web; Database transaction; Web query classification; Database; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002441908,0.000299907,0.0006668412,0.002075154,0.0005048484,0.0007618603,0.000305374,0.0003658904,0.001260519],"category_scores_gemma":[0.01904082,0.0002847112,0.0002627679,0.001250817,0.0003643133,0.0008295849,0.0006741754,0.0004447128,0.0004393428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000413233,"about_ca_system_score_gemma":0.0003835976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005714771,"about_ca_topic_score_gemma":0.008225436,"domain_scores_codex":[0.9981723,0.0008762976,0.0001781139,0.0001956549,0.0004469881,0.0001306474],"domain_scores_gemma":[0.9680402,0.0259596,0.001959539,0.001091097,0.002289409,0.0006601261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003412566,0.001502468,0.7749183,0.0005934853,0.0001785823,0.0004926049,0.03281924,0.001110572,0.01798838,0.0001840807,0.001956403,0.1648433],"study_design_scores_gemma":[0.00008352083,0.002495084,0.9738629,0.0000297926,0.0001008085,0.0004595788,0.008328957,0.006765413,0.005825333,0.0001230491,0.001834913,0.00009061371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992299,0.00004319349,0.0002303072,0.00002642713,7.699059e-7,0.00002861683,0.0002010059,0.0000282022,0.0002116197],"genre_scores_gemma":[0.9978255,0.00005318995,0.0008771648,0.00003471575,0.000004243231,0.00006536383,0.0004811353,0.00001225727,0.0006463824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005714771,"threshold_uncertainty_score":0.01291424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645977238471834,"score_gpt":0.2433505356031823,"score_spread":0.2268907632184639,"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."}}