BE@RBRICK @ 澳門銀河 2020

澳門－BE@RBRICK 藝術展覽於8月13日至9月13日期間在澳門銀河翡翠大堂再度展出。名唐展覽下的活動營銷專家再次獲委任負責整個展覽的規劃及搭建。是次展覽呈獻了8款獨家品牌聯名限定的400%尺寸BE@RBRICK，我們澳門團隊特別製作8個發光的膠囊設置於購物中心旁的主展區，吸引大量BE@RBRICK爱好者到翡翠大堂拍照留念。

此外，抗疫期間安全尤為重要，除了一般的衛生措施外，我們亦考慮到為觀眾保持社交距離。我們與客戶緊密合作，共同構思主展區的空間規劃，以縮短參觀人士排隊等候參觀和拍照的時間，打造一個既安全又充滿藝術氣息的展覽環境。

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全球首個BE@BRICK藝術展

0.134672 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 82) [SchemaSimilarity], result of: ... 0.134672 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.137401 <= 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 ... ... 0.692036 <= 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 ... ... ... 184.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.541635 <= weight(tm_X3b_zh_X2d_hant_rendered_item:遊戲 in 82) [SchemaSimilarity], result of: ... 1.541635 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.269845 <= 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 ... ... 0.529094 <= 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 1.865129 <= weight(tm_X3b_zh_X2d_hant_rendered_item:路演 in 82) [SchemaSimilarity], result of: ... 1.865129 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.372188 <= 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 ... ... 0.529094 <= 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

新加坡教育部懷舊路演

1.624572 <= weight(tm_X3b_zh_X2d_hant_rendered_item:日期 in 53) [SchemaSimilarity], result of: ... 1.624572 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 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 ... ... 0.416131 <= 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 ... ... ... 344.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.165010 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 53) [SchemaSimilarity], result of: ... 0.165010 <= score(freq=5.0), computed as boost * idf * tf from: ... ... 1.235073 <= 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 ... ... 0.780873 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 5.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 344.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.243485 <= weight(tm_X3b_zh_X2d_hant_rendered_item:參觀 in 53) [SchemaSimilarity], result of: ... 1.243485 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.347500 <= boost ... ... 2.217592 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 13.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.416131 <= 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 ... ... ... 344.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.013558 <= weight(tm_X3b_zh_X2d_hant_rendered_item:拍照 in 53) [SchemaSimilarity], result of: ... 2.013558 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.641102 <= 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 ... ... 0.416131 <= 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 ... ... ... 344.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.013558 <= weight(tm_X3b_zh_X2d_hant_rendered_item:期間 in 53) [SchemaSimilarity], result of: ... 2.013558 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.641102 <= 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 ... ... 0.416131 <= 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 ... ... ... 344.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.675614 <= weight(tm_X3b_zh_X2d_hant_rendered_item:8 in 53) [SchemaSimilarity], result of: ... 1.675614 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.936408 <= 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 ... ... 0.416131 <= 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 ... ... ... 344.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

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0.167697 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 20) [SchemaSimilarity], result of: ... 0.167697 <= score(freq=5.0), computed as boost * idf * tf from: ... ... 1.235073 <= 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 ... ... 0.793591 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 5.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 312.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 3.394074 <= weight(tm_X3b_zh_X2d_hant_rendered_item:大堂 in 20) [SchemaSimilarity], result of: ... 3.394074 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.000000 <= 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 ... ... 0.434693 <= 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 ... ... ... 312.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

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0.091857 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 47) [SchemaSimilarity], result of: ... 0.091857 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.235073 <= 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 ... ... 0.434693 <= 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 ... ... ... 312.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.750355 <= weight(tm_X3b_zh_X2d_hant_rendered_item:8 in 47) [SchemaSimilarity], result of: ... 1.750355 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.936408 <= 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 ... ... 0.434693 <= 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 ... ... ... 312.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

香港上海匯豐銀行有限公司

0.110823 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 2) [SchemaSimilarity], result of: ... 0.110823 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.235073 <= 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 ... ... 0.524447 <= 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 ... ... ... 472.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.272082 <= weight(tm_X3b_zh_X2d_hant_rendered_item:安全 in 2) [SchemaSimilarity], result of: ... 1.272082 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.449651 <= 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 ... ... 0.355424 <= 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 ... ... ... 472.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field