名唐新加坡於Marketing Events Awards 獲獎了!

新加坡 - Marketing Events Awards是由<<Marketing Magazine>>主辦的市場營銷活動獎項，旨在嘉許東南亞、南亞和澳紐地區有出色表現的活動策劃公司，表揚其於活動策略、營銷、規劃和執行方面的卓越表現。
我們很榮幸能向大家宣布名唐新加坡成功獲頒以下兩個獎項：

最佳展覽活動-銀獎
活動: 新加坡教育部懷舊路演

最佳內部活動-銅獎
活動: 最奇妙的夢 – 新加坡星展銀行

恭喜名唐新加坡! 我們將繼續竭盡所能為客戶提供優質服務和創造難忘的體驗。

正在計劃活動? 歡迎與我們討論詳情。

聯繫我們

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3.810328 <= weight(tm_X3b_zh_X2d_hant_rendered_item:獎項 in 60) [SchemaSimilarity], result of: ... 3.810328 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.000000 <= boost ... ... 2.948479 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 6.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.646151 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 4.227543 <= weight(tm_X3b_zh_X2d_hant_rendered_item:唐新 in 60) [SchemaSimilarity], result of: ... 4.227543 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.650019 <= boost ... ... 2.468906 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 10.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.646151 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.839469 <= weight(tm_X3b_zh_X2d_hant_rendered_item:活動 in 60) [SchemaSimilarity], result of: ... 0.839469 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.892190 <= boost ... ... 0.608154 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 67.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.477270 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 8.473918 <= weight(tm_X3b_zh_X2d_hant_rendered_item:加坡 in 60) [SchemaSimilarity], result of: ... 8.473918 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 5.041332 <= boost ... ... 2.294553 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 12.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.732556 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 3.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 8.473918 <= weight(tm_X3b_zh_X2d_hant_rendered_item:新加 in 60) [SchemaSimilarity], result of: ... 8.473918 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 5.041332 <= boost ... ... 2.294553 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 12.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.732556 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 3.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

名唐榮獲第31屆年度展覽設計大獎銅獎

1.306283 <= weight(tm_X3b_zh_X2d_hant_rendered_item:出色 in 81) [SchemaSimilarity], result of: ... 1.306283 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.468906 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 10.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.529094 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 184.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.766050 <= weight(tm_X3b_zh_X2d_hant_rendered_item:榮獲 in 81) [SchemaSimilarity], result of: ... 1.766050 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.132067 <= boost ... ... 2.948479 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 6.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.529094 <= tf, computed as freq / (freq + k1 * (1 - 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亞洲展覽會議協會聯盟最佳承建服務獎

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n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.361662 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 16.000000 <= dl, length of field ... ... ... 9.829268 <= avgdl, average length of field 2.929276 <= weight(tm_X3b_zh_X2d_hant_rendered_item:冠軍 in 63) [SchemaSimilarity], result of: ... 2.929276 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.379642 <= boost ... ... 3.903991 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.543857 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.929276 <= weight(tm_X3b_zh_X2d_hant_rendered_item:意念 in 63) [SchemaSimilarity], result of: ... 2.929276 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.379642 <= boost ... ... 3.903991 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.543857 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 3.794750 <= weight(tm_X3b_zh_X2d_hant_rendered_item:議協 in 63) [SchemaSimilarity], result of: ... 3.794750 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.379642 <= boost ... ... 3.903991 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.704544 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 3.794750 <= weight(tm_X3b_zh_X2d_hant_rendered_item:佳承 in 63) [SchemaSimilarity], result of: ... 3.794750 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.379642 <= boost ... ... 3.903991 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.704544 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.929276 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展產 in 63) [SchemaSimilarity], result of: ... 2.929276 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.379642 <= boost ... ... 3.903991 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.543857 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.957667 <= weight(tm_X3b_zh_X2d_hant_rendered_item:亞洲 in 63) [SchemaSimilarity], result of: ... 1.957667 <= score(freq=4.0), computed as boost * idf * tf from: ... ... 1.497309 <= boost ... ... 1.581603 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 25.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.826665 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 4.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.609316 <= weight(tm_X3b_zh_X2d_hant_rendered_item:會展 in 63) [SchemaSimilarity], result of: ... 2.609316 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.781034 <= boost ... ... 2.079442 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 15.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.704544 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.520754 <= weight(tm_X3b_zh_X2d_hant_rendered_item:表現 in 63) [SchemaSimilarity], result of: ... 2.520754 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.949151 <= boost ... ... 2.377934 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 11.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.543857 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 5.217175 <= weight(tm_X3b_zh_X2d_hant_rendered_item:最佳 in 63) [SchemaSimilarity], result of: ... 5.217175 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 2.264134 <= boost ... ... 2.948479 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 6.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.781511 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 3.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 6.512826 <= weight(tm_X3b_zh_X2d_hant_rendered_item:務獎 in 63) [SchemaSimilarity], result of: ... 6.512826 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.591167 <= boost ... ... 3.567519 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 3.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.704544 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 6.512826 <= weight(tm_X3b_zh_X2d_hant_rendered_item:協會 in 63) [SchemaSimilarity], result of: ... 6.512826 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.591167 <= boost ... ... 3.567519 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 3.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.704544 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 17.810047 <= weight(tm_X3b_zh_X2d_hant_rendered_item:afeca in 63) [SchemaSimilarity], result of: ... 17.810047 <= score(freq=4.0), computed as boost * idf * tf from: ... ... 5.518569 <= boost ... ... 3.903991 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.826665 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 4.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 168.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

名唐榮獲AFECA最佳服務獎

0.238216 <= weight(tm_X3b_zh_X2d_hant_rendered_item:唐展 in 84) [SchemaSimilarity], result of: ... 0.238216 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 0.419679 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 81.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.567615 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 3.147839 <= weight(tm_X3b_zh_X2d_hant_rendered_item:2015 in 84) [SchemaSimilarity], result of: ... 3.147839 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.113421 <= boost ... ... 3.903991 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.724176 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.204462 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 84) [SchemaSimilarity], result of: ... 0.204462 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.650187 <= boost ... ... 0.171094 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 104.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.724176 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.419181 <= weight(tm_X3b_zh_X2d_hant_rendered_item:憑藉 in 84) [SchemaSimilarity], result of: ... 2.419181 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.659022 <= boost ... ... 2.568990 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 9.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.567615 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 3.359895 <= weight(tm_X3b_zh_X2d_hant_rendered_item:的認 in 84) [SchemaSimilarity], result of: ... 3.359895 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.899938 <= boost ... ... 3.115534 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 5.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.567615 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

名唐澳門獲頒《第四屆澳門商務大獎》金獎

0.314438 <= weight(tm_X3b_zh_X2d_hant_rendered_item:團隊 in 78) [SchemaSimilarity], result of: ... 0.314438 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.035379 <= boost ... ... 0.470004 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 77.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.646151 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.780282 <= weight(tm_X3b_zh_X2d_hant_rendered_item:了我 in 78) [SchemaSimilarity], result of: ... 1.780282 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.045582 <= boost ... ... 3.567519 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 3.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.477270 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.974943 <= weight(tm_X3b_zh_X2d_hant_rendered_item:客戶 in 78) [SchemaSimilarity], result of: ... 0.974943 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.440398 <= boost ... ... 1.047521 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 43.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.646151 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.438260 <= weight(tm_X3b_zh_X2d_hant_rendered_item:管理 in 78) [SchemaSimilarity], result of: ... 0.438260 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.509919 <= boost ... ... 0.608154 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 67.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.477270 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 1.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 3.481188 <= weight(tm_X3b_zh_X2d_hant_rendered_item:獲頒 in 78) [SchemaSimilarity], result of: ... 3.481188 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.827238 <= boost ... ... 2.948479 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 6.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.646151 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 2.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 248.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field