var sim  =  new Array()

sim["survey_tods"] = 0.23

sim["CACM_SW-MLJ"] = 0.2

sim["sdm-02_tods"] = 0.31

sim["Agents2002_SW-MLJ"] = 0.29

sim["tods_kdd98"] = 0.27

sim["tools_mlj97-pedro"] = 0.25

sim["IPSJ_koji"] = 0.2

sim["Pricai2002_CACM"] = 0.45

sim["stucco-dmkd_stucco"] = 0.2

sim["kdd_archive_MLC94"] = 0.11

sim["icdm-01_tods"] = 0.2

sim["kdd01_e-index_tods"] = 0.21

sim["locally_tods"] = 0.2

sim["selina_kdd98"] = 0.21

sim["sdm01_tods"] = 0.23

sim["Methods_LinearModels"] = 0.21

sim["www10_CACM"] = 0.42

sim["webb_SM-MLJ"] = 0.24

sim["eval_CogSci97"] = 0.23

sim["dimen_tods"] = 0.34

sim["cmed_stucco"] = 0.24

sim["w4_cmed"] = 0.41

sim["keogh-kdd_kdd98"] = 0.25

sim["pakdd200_keogh_tods"] = 0.27



sim["pazzani00rep_billsuspazzanichen"] = 0.2

sim["billsuspazzanichen_CACM"] = 0.2

sim["koji_mlj97-pedro"] = 0.14

sim["nextgen_LinearModels"] = 0.21

sim["IEEE-TC_CogSci97"] = 0.23

sim["BillsusA_CACM"] = 0.2

sim["kdd98_tods"] = 0.35




sim["um99_Agents2002"] = 0.25

sim["agents99-news_CACM"] = 0.27

sim["stucco_stucco-dmkd"] = 0.39

sim["LinearModels_KDD97"] = 0.2

sim["agents99-web_CACM"] = 0.14

sim["sigir99_kdd98"] = 0.4
sim["sigir99_survey"] = 0.41
sim["tods_survey"] = 0.30
sim["pkdd99_tods"] = 0.17

sim["ssdb99_tods"] = 0.15

sim["AIM_ai-mag"] = 0.18

sim["Eval_AIREVIEW"] = 0.33

sim["ai-mag_ctshiv"] =0.41


sim["EamonnAIStats_tools"] = 0.4

sim["amia_fs98_AI-mag"] = 0.15


sim["medinfo98_AI-mag"] = 0.14

sim["two_stage_ml_ctshiv"] = 0.2

sim["AIRVIEW_CACM"] = 0.29

sim["mlj-pcr_nips-merz"] = 0.34

sim["Global_KDD97"] = 0.2

sim["MLC98_koji"] = 0.21

sim["Webb_SM-MLJ"] = 0.23

sim["TimeSeriesWorkshop_kdd98"] = 0.28


sim["IAAI98_ctshiv"] = 0.41


sim["ProbUserModels_CACM"] = 0.22
sim["ProbUserModels_BillsusA"] = 0.29

sim["mlj97-pedro_Pazzani-MLJ92-Average"] = 0.20


sim["Pazzani-aistats96_tools"] = 0.31

sim["maximum"] =  0.939
sim["agents99-news_MLC98"] = 0.29
sim["stucco_CogSci97"] = 0.28
sim["LinearModels_CogSci97"] = 0.45
sim["sigir99_kdd98"] = 0.51
sim["pkdd99_kdd98"] = 0.23
sim["ssdb99_pkdd98"] = 0.45
sim["Eval_SW-MLJ"] = 0.21
sim["EamonnAIStats_mlj97-pedro"] = 0.234
sim["EamonnAIStats_Pazzani-isis96"] = 0.238
sim["A-Lexically-Based-MLC-95_detecting"] = 0.208
sim["A-Lexically-Based-MLC-95_ijcai93-wogulis"] = 0.278
sim["A-Lexically-Based-MLC-95_Yamazaki-1995"] = 0.276
sim["A-Lexically-Based-MLC-95_Yamazaki-1996"] = 0.291
sim["A-Lexically-Based-MLC-95_yamazaki-pazzani"] = 0.288
sim["aaai-merz_ais97"] = 0.541
sim["aaai-merz_nips-merz"] = 0.518
sim["aaai-webert_AI-MAG"] = 0.401
sim["aaai-webert_Coldlist"] = 0.428
sim["aaai-webert_mlia96-bstarr"] = 0.259
sim["aaai-webert_RevUserProfiles"] = 0.672
sim["aaai-webert_SW-MLJ"] = 0.355
sim["aaai-webert_Syskill"] = 0.881
sim["AI-MAG_aaai-webert"] = 0.401
sim["AI-MAG_Coldlist"] = 0.419
sim["AI-MAG_mlia96-bstarr"] = 0.356
sim["AI-MAG_RevUserProfiles"] = 0.416
sim["AI-MAG_SW-MLJ"] = 0.301
sim["AI-MAG_Syskill"] = 0.443
sim["aim_aime97_alz"] = 0.282
sim["aim_alz-res"] = 0.595
sim["aim_bc_alzml_article"] = 0.299
sim["aime97_alz_aim"] = 0.282
sim["aime97_alz_alz-res"] = 0.293
sim["aime97_alz_bc_alzml_article"] = 0.49
sim["ais97_aaai-merz"] = 0.541
sim["ais97_nips-merz"] = 0.531
sim["ali-ai-stats95-mult-relational_ali-tai-94-multiple-models"] = 0.214
sim["ali-clnl92-small-disj_ali-ijcai-93-hydra"] = 0.332
sim["ali-clnl92-small-disj_ali-pazzani-tai-journal"] = 0.243
sim["ali-clnl92-small-disj_ali-tai-94-multiple-models"] = 0.217
sim["ali-ijcai-93-hydra_ali-clnl92-small-disj"] = 0.332
sim["ali-ijcai-93-hydra_ali-pazzani-tai-journal"] = 0.24
sim["ali-ijcai-93-hydra_ali-tai-94-multiple-models"] = 0.24
sim["ali-ijcai-93-hydra_Pazzani-AIM94"] = 0.238
sim["ali-mlj-mult-rulesets_ali-pazzani-tai-journal"] = 0.27
sim["ali-mlj-mult-rulesets_ali-tai-94-multiple-models"] = 0.236
sim["ali-pazzani-tai-journal_ali-clnl92-small-disj"] = 0.243
sim["ali-pazzani-tai-journal_ali-ijcai-93-hydra"] = 0.24
sim["ali-pazzani-tai-journal_ali-mlj-mult-rulesets"] = 0.27
sim["ali-pazzani-tai-journal_ali-tai-94-multiple-models"] = 0.839
sim["ali-tai-94-multiple-models_ali-ai-stats95-mult-relational"] = 0.214
sim["ali-tai-94-multiple-models_ali-clnl92-small-disj"] = 0.217
sim["ali-tai-94-multiple-models_ali-ijcai-93-hydra"] = 0.24
sim["ali-tai-94-multiple-models_ali-mlj-mult-rulesets"] = 0.236
sim["ali-tai-94-multiple-models_ali-pazzani-tai-journal"] = 0.839
sim["ali-tai-94-multiple-models_Pazzani-AIM94"] = 0.214
sim["alz-res_aim"] = 0.595
sim["alz-res_aime97_alz"] = 0.293
sim["alz-res_bc_alzml_article"] = 0.264
sim["aniterative_IEEE-merz"] = 0.201
sim["aniterative_mlj97-pedro"] = 0.234
sim["aniterative_Pazzani-aistats96"] = 0.328
sim["automated_refining"] = 0.312
sim["bahamas_ctshiv"] = 0.763
sim["bahamas_IAAI98"] = 0.505
sim["bc_alzml_article_aim"] = 0.299
sim["bc_alzml_article_aime97_alz"] = 0.49
sim["bc_alzml_article_alz-res"] = 0.264
sim["bc_alzml_article_kdex"] = 0.233
sim["clnl93-forest_jair94-forest"] = 0.939
sim["CogSci97_DataMining"] = 0.525
sim["CogSci97_KDD97"] = 0.832
sim["cogscij_inducing"] = 0.37
sim["cogscij_therole"] = 0.229
sim["Coldlist_aaai-webert"] = 0.428
sim["Coldlist_AI-MAG"] = 0.419
sim["Coldlist_mlia96-bstarr"] = 0.4
sim["Coldlist_RevUserProfiles"] = 0.341
sim["Coldlist_SW-MLJ"] = 0.271
sim["Coldlist_Syskill"] = 0.464
sim["ctshiv_bahamas"] = 0.763
sim["ctshiv_IAAI98"] = 0.342
sim["DataMining_CogSci97"] = 0.525
sim["DataMining_KDD97"] = 0.345
sim["detecting_A-Lexically-Based-MLC-95"] = 0.208
sim["detecting_IJCAI-Occam"] = 0.215
sim["detecting_ijcai93-wogulis"] = 0.227
sim["detecting_Knowledge-Acquisition-KAW-92"] = 0.393
sim["detecting_Pazzani-Spring-Hinder"] = 0.226
sim["dica-chi96_MLC98"] = 0.317
sim["eblweak_jeplmc"] = 0.241
sim["Finding-Accurate-AAAI-93_Pazzani-Spring-Hinder"] = 0.322
sim["hirschberg-clnl-91-dnf-cnf_Pazzani-MLC-92-CNF"] = 0.655
sim["hirschberg-clnl-91-dnf-cnf_Pazzani-MLJ92-Average"] = 0.438
sim["Hume-and-Pazzani-CogSci95_influence"] = 0.325
sim["Hume-and-Pazzani-CogSci95_jeplmc"] = 0.205
sim["IAAI98_bahamas"] = 0.505
sim["IAAI98_ctshiv"] = 0.342
sim["IEEE-merz_aniterative"] = 0.201
sim["IEEE-merz_Tai-merz"] = 0.518
sim["IJCAI_ijcai87"] = 0.789
sim["IJCAI-Occam_detecting"] = 0.215
sim["ijcai87_IJCAI"] = 0.789
sim["ijcai93-wogulis_A-Lexically-Based-MLC-95"] = 0.278
sim["ijcai93-wogulis_detecting"] = 0.227
sim["ijcai93-wogulis_mlc94-clips-r"] = 0.216
sim["ILP-MLJ_theutility"] = 0.261
sim["inducing_cogscij"] = 0.37
sim["inducing_ReplyToReview"] = 0.218
sim["inducing_therole"] = 0.355
sim["inducing_usingprior"] = 0.405
sim["influence_Hume-and-Pazzani-CogSci95"] = 0.325
sim["influence_jeplmc"] = 0.581
sim["influence_Pazzani-CogSci90-induction"] = 0.253
sim["influence_Pazzani-Spring-Hinder"] = 0.201
sim["jair94-forest_clnl93-forest"] = 0.939
sim["jeplmc_eblweak"] = 0.241
sim["jeplmc_Hume-and-Pazzani-CogSci95"] = 0.205
sim["jeplmc_influence"] = 0.581
sim["jeplmc_Pazzani-CogSci90-induction"] = 0.263
sim["jeplmc_Pazzani-Spring-Hinder"] = 0.202
sim["jeplmc_usingprior"] = 0.281
sim["KDD97_CogSci97"] = 0.832
sim["KDD97_DataMining"] = 0.345
sim["kdex_bc_alzml_article"] = 0.233
sim["kdex_paediatrics_abs"] = 0.531
sim["Knowledge-Acquisition-KAW-92_detecting"] = 0.393
sim["MLC94_theutility"] = 0.268
sim["mlc94-clips-r_ijcai93-wogulis"] = 0.216
sim["mlc96-pedro_mlj97-pedro"] = 0.48
sim["mlc96-pedro_ProbUserModels"] = 0.275
sim["MLC98_dica-chi96"] = 0.317
sim["MLC98_ProbUserModels"] = 0.221
sim["mlia96-bstarr_aaai-webert"] = 0.259
sim["mlia96-bstarr_AI-MAG"] = 0.356
sim["mlia96-bstarr_Coldlist"] = 0.4
sim["mlia96-bstarr_RevUserProfiles"] = 0.274
sim["mlia96-bstarr_Syskill"] = 0.296
sim["mlj97-pedro_aniterative"] = 0.234
sim["mlj97-pedro_mlc96-pedro"] = 0.48
sim["mlj97-pedro_Pazzani-aistats96"] = 0.38
sim["nips-merz_aaai-merz"] = 0.518
sim["nips-merz_ais97"] = 0.531
sim["one-sided_Pazzani-CogSci90-induction"] = 0.241
sim["paediatrics_abs_kdex"] = 0.531
sim["Pazzani-AIM94_ali-ijcai-93-hydra"] = 0.238
sim["Pazzani-AIM94_ali-tai-94-multiple-models"] = 0.214
sim["Pazzani-aistats96_aniterative"] = 0.328
sim["Pazzani-aistats96_mlj97-pedro"] = 0.38
sim["Pazzani-aistats96_Pazzani-isis96"] = 0.238
sim["Pazzani-aistats96_SW-MLJ"] = 0.232
sim["Pazzani-aistats96_Webb"] = 0.334
sim["Pazzani-CogSci90-induction_influence"] = 0.253
sim["Pazzani-CogSci90-induction_jeplmc"] = 0.263
sim["Pazzani-CogSci90-induction_one-sided"] = 0.241
sim["Pazzani-isis96_Pazzani-aistats96"] = 0.238
sim["Pazzani-MLC-92-CNF_hirschberg-clnl-91-dnf-cnf"] = 0.655
sim["Pazzani-MLC-92-CNF_Pazzani-MLJ92-Average"] = 0.488
sim["Pazzani-MLJ92-Average_hirschberg-clnl-91-dnf-cnf"] = 0.438
sim["Pazzani-MLJ92-Average_Pazzani-MLC-92-CNF"] = 0.488


sim["mlj-pcr_ais97"] = 0.543
sim["mlj-pcr_nips-merz"] = 0.519
sim["mlj-pcr_aaai-merz"] = 0.519
sim["ais97_mlj-pcr"] = 0.543
sim["aaai-merz_mlj-pcr"] = 0.519
sim["nips-merz_mlj-pcr"] = 0.519
sim["Pazzani-Spring-Hinder_detecting"] = 0.226
sim["Pazzani-Spring-Hinder_Finding-Accurate-AAAI-93"] = 0.322
sim["Pazzani-Spring-Hinder_influence"] = 0.201
sim["Pazzani-Spring-Hinder_jeplmc"] = 0.202
sim["ProbUserModels_mlc96-pedro"] = 0.275
sim["ProbUserModels_MLC98"] = 0.221
sim["refining_automated"] = 0.312
sim["ReplyToReview_inducing"] = 0.218
sim["ReplyToReview_therole"] = 0.25
sim["ReplyToReview_usingprior"] = 0.207
sim["RevUserProfiles_aaai-webert"] = 0.672
sim["RevUserProfiles_AI-MAG"] = 0.416
sim["RevUserProfiles_Coldlist"] = 0.341
sim["RevUserProfiles_mlia96-bstarr"] = 0.274
sim["RevUserProfiles_SW-MLJ"] = 0.409
sim["RevUserProfiles_Syskill"] = 0.74
sim["selecting_usingprior"] = 0.235
sim["SW-MLJ_aaai-webert"] = 0.355
sim["SW-MLJ_AI-MAG"] = 0.301
sim["SW-MLJ_Coldlist"] = 0.271
sim["SW-MLJ_Pazzani-aistats96"] = 0.232
sim["SW-MLJ_RevUserProfiles"] = 0.409
sim["SW-MLJ_Syskill"] = 0.285
sim["Syskill_aaai-webert"] = 0.881
sim["Syskill_AI-MAG"] = 0.443
sim["Syskill_Coldlist"] = 0.464
sim["Syskill_mlia96-bstarr"] = 0.296
sim["Syskill_RevUserProfiles"] = 0.74
sim["Syskill_SW-MLJ"] = 0.285
sim["Tai-merz_IEEE-merz"] = 0.518
sim["therole_cogscij"] = 0.229
sim["therole_inducing"] = 0.355
sim["therole_ReplyToReview"] = 0.25
sim["therole_usingprior"] = 0.429
sim["theutility_ILP-MLJ"] = 0.261
sim["theutility_MLC94"] = 0.268
sim["usingprior_inducing"] = 0.405
sim["usingprior_jeplmc"] = 0.281
sim["usingprior_ReplyToReview"] = 0.207
sim["usingprior_selecting"] = 0.235
sim["usingprior_therole"] = 0.429
sim["Webb_Pazzani-aistats96"] = 0.334
sim["Yamazaki-1995_A-Lexically-Based-MLC-95"] = 0.276
sim["Yamazaki-1995_Yamazaki-1996"] = 0.893
sim["Yamazaki-1995_yamazaki-pazzani"] = 0.749
sim["Yamazaki-1996_A-Lexically-Based-MLC-95"] = 0.291
sim["Yamazaki-1996_Yamazaki-1995"] = 0.893
sim["Yamazaki-1996_yamazaki-pazzani"] = 0.653
sim["yamazaki-pazzani_A-Lexically-Based-MLC-95"] = 0.288
sim["yamazaki-pazzani_Yamazaki-1995"] = 0.749
sim["yamazaki-pazzani_Yamazaki-1996"] = 0.653