六福珠寶全國巡展
廈門 - 名唐展覽很榮幸獲六福珠寶委任為全國巡展的服務供應商，為其最新系列「愛很美」在大陸多個城市進行主題宣傳活動。
名唐北京團隊與六福珠寶已有多年的合作經驗，深受客戶信任。作為全國巡展的指定服務承辦商，我們負責活動場地搭建及工藝製作。現時已順利完成了在廈門中華城及SM百貨舉辦的兩場展覽，接下來還將繼續助力在福州、貴陽和惠州等地的巡迴活動。
我們祝願2017全國巡展順利完成，亦期待與六福珠寶的再度合作。
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1.661973 <= weight(tm_X3b_zh_X2d_hant_rendered_item:另外 in 17) [SchemaSimilarity], result of:
... 1.661973 <= score(freq=1.0), computed as boost * idf * tf from:
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... ... ... 3.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
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... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 264.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
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... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
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... ... ... 312.000000 <= dl, length of field (approximate)
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... ... ... 312.000000 <= dl, length of field (approximate)
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... ... ... 312.000000 <= dl, length of field (approximate)
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... ... ... 123.000000 <= N, total number of documents with field
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... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
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... ... ... 3.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
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... ... ... 2.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
0.617386 <= weight(tm_X3b_zh_X2d_hant_rendered_item:中心 in 24) [SchemaSimilarity], result of:
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... ... 1.008917 <= boost
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... ... ... 35.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.489250 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
2.033954 <= weight(tm_X3b_zh_X2d_hant_rendered_item:及精 in 24) [SchemaSimilarity], result of:
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... ... ... 2.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
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... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
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... ... ... 2.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
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... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 6.000000 <= dl, length of field
... ... ... 9.829268 <= avgdl, average length of field
2.033954 <= weight(tm_X3b_zh_X2d_hant_rendered_item:大量 in 24) [SchemaSimilarity], result of:
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... ... 1.064881 <= boost
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... ... ... 2.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
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... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
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... ... 1.064881 <= boost
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... ... ... 2.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.657042 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
3.296854 <= weight(tm_X3b_zh_X2d_hant_rendered_item:rbrick in 24) [SchemaSimilarity], result of:
... 3.296854 <= score(freq=4.0), computed as boost * idf * tf from:
... ... 1.064881 <= 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
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... ... ... 4.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
0.766548 <= weight(tm_X3b_zh_X2d_hant_rendered_item:製作 in 24) [SchemaSimilarity], result of:
... 0.766548 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.091155 <= boost
... ... 1.435891 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... 29.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.489250 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
1.068939 <= weight(tm_X3b_zh_X2d_hant_rendered_item:規劃 in 24) [SchemaSimilarity], result of:
... 1.068939 <= score(freq=2.0), computed as boost * idf * tf from:
... ... 1.106447 <= boost
... ... 1.470377 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... 28.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.657042 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
1.750295 <= weight(tm_X3b_zh_X2d_hant_rendered_item:術展 in 24) [SchemaSimilarity], result of:
... 1.750295 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.504458 <= 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
... ... 0.489250 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
3.110209 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展區 in 24) [SchemaSimilarity], result of:
... 3.110209 <= score(freq=2.0), computed as boost * idf * tf from:
... ... 1.687348 <= boost
... ... 2.805378 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... 7.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.657042 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
2.769778 <= weight(tm_X3b_zh_X2d_hant_rendered_item:購物 in 24) [SchemaSimilarity], result of:
... 2.769778 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.817110 <= 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
... ... 0.489250 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
3.081606 <= weight(tm_X3b_zh_X2d_hant_rendered_item:物中 in 24) [SchemaSimilarity], result of:
... 3.081606 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.899349 <= boost
... ... 3.316204 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... 4.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.489250 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
4.316833 <= weight(tm_X3b_zh_X2d_hant_rendered_item:藝術 in 24) [SchemaSimilarity], result of:
... 4.316833 <= score(freq=2.0), computed as boost * idf * tf from:
... ... 2.451331 <= boost
... ... 2.680215 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... 8.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.657042 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
7.816040 <= weight(tm_X3b_zh_X2d_hant_rendered_item:澳門 in 24) [SchemaSimilarity], result of:
... 7.816040 <= score(freq=5.0), computed as boost * idf * tf from:
... ... 2.849023 <= boost
... ... 3.316204 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... 4.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.827275 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
9.990006 <= weight(tm_X3b_zh_X2d_hant_rendered_item:be in 24) [SchemaSimilarity], result of:
... 9.990006 <= score(freq=4.0), computed as boost * idf * tf from:
... ... 3.798697 <= boost
... ... 3.316204 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... 4.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.793030 <= 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
... ... ... 232.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field