名唐協助主辦方　為國際橡塑再創高峰

上海 - 第32屆國際橡塑展（Chinaplas）已於年4月24至27日在上海國家會展中心順利舉行。名唐展覽與主辦方合作無間，今年再度獲任為是次盛會的大會承建商，提供主建項目服務；同時，我們憑藉豐富的展覽專案項目經驗，贏得眾多企業的信任，為他們提供從展位設計、搭建到現場禮賓的一站式定制服務。

迄今舉辦逾30年的國際橡塑展已成為業界在亞洲最大規模的專業展。今年，大會將展覽面積增加至34萬平方米，我們的展會主建團隊亦投入了更多的資源，以配合主辦方的需求進行空間規劃、設計佈置、場地搭建以至現場管理和技術支援服務。名唐展覽協助主辦方通過一系列的大會設施，為參展商及觀眾帶來便利和提升參與度，在雙方的共同努力下創下超過18萬入場人次的新紀錄！

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0.798636 <= weight(tm_X3b_zh_X2d_hant_rendered_item:中國 in 22) [SchemaSimilarity], result of: ... 0.798636 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.030684 <= boost ... ... 1.663281 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 23.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.798636 <= weight(tm_X3b_zh_X2d_hant_rendered_item:特裝 in 22) [SchemaSimilarity], result of: ... 0.798636 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.030684 <= boost ... ... 1.663281 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 23.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.832716 <= weight(tm_X3b_zh_X2d_hant_rendered_item:裝展 in 22) [SchemaSimilarity], result of: ... 0.832716 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.047286 <= boost ... ... 1.706766 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 22.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.140794 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 22) [SchemaSimilarity], result of: ... 0.140794 <= score(freq=3.0), 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 ... ... 0.723492 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.042552 <= weight(tm_X3b_zh_X2d_hant_rendered_item:3 in 22) [SchemaSimilarity], result of: ... 1.042552 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.142903 <= boost ... ... 1.958081 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 17.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

第13屆上海法蘭克福汽配展

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亞洲消費電子展匯聚當下最新科技

1.750046 <= weight(tm_X3b_zh_X2d_hant_rendered_item:合主 in 31) [SchemaSimilarity], result of: ... 1.750046 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.052993 <= 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 ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.147329 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 31) [SchemaSimilarity], result of: ... 0.147329 <= score(freq=4.0), computed as boost * idf * tf from: ... ... 1.107922 <= 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 ... ... 0.777219 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.768584 <= weight(tm_X3b_zh_X2d_hant_rendered_item:項目 in 31) [SchemaSimilarity], result of: ... 0.768584 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.148978 <= 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 ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.829154 <= weight(tm_X3b_zh_X2d_hant_rendered_item:現場 in 31) [SchemaSimilarity], result of: ... 0.829154 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.181748 <= boost ... ... 1.506096 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 27.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.238296 <= weight(tm_X3b_zh_X2d_hant_rendered_item:服務 in 31) [SchemaSimilarity], result of: ... 0.238296 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.233475 <= boost ... ... 0.303943 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 91.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.635616 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.434541 <= weight(tm_X3b_zh_X2d_hant_rendered_item:主建 in 31) [SchemaSimilarity], result of: ... 0.434541 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.241612 <= boost ... ... 0.751255 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 58.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.383373 <= weight(tm_X3b_zh_X2d_hant_rendered_item:的大 in 31) [SchemaSimilarity], result of: ... 1.383373 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.275178 <= boost ... ... 1.706766 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 22.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.635616 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.560970 <= weight(tm_X3b_zh_X2d_hant_rendered_item:方的 in 31) [SchemaSimilarity], result of: ... 1.560970 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.510968 <= 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 ... ... 0.465863 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.165888 <= weight(tm_X3b_zh_X2d_hant_rendered_item:大會 in 31) [SchemaSimilarity], result of: ... 1.165888 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 1.793898 <= boost ... ... 0.898308 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 50.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.723492 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.366118 <= weight(tm_X3b_zh_X2d_hant_rendered_item:上海 in 31) [SchemaSimilarity], result of: ... 2.366118 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.012340 <= boost ... ... 1.849867 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 19.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.635616 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.675748 <= weight(tm_X3b_zh_X2d_hant_rendered_item:主辦 in 31) [SchemaSimilarity], result of: ... 1.675748 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 2.024679 <= boost ... ... 1.143981 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 39.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.723492 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.575378 <= weight(tm_X3b_zh_X2d_hant_rendered_item:辦方 in 31) [SchemaSimilarity], result of: ... 2.575378 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 2.363495 <= boost ... ... 1.506096 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 27.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.723492 <= 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 ... ... ... 264.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

Vinexpo Hong Kong再創高峰

0.537725 <= weight(tm_X3b_zh_X2d_hant_rendered_item:吸引 in 25) [SchemaSimilarity], result of: ... 0.537725 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.402555 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 30.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.383389 <= 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 ... ... ... 408.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.677751 <= weight(tm_X3b_zh_X2d_hant_rendered_item:行業 in 25) [SchemaSimilarity], result of: ... 0.677751 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.090145 <= boost ... ... 1.621609 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 24.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.383389 <= 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 ... ... ... 408.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.502738 <= weight(tm_X3b_zh_X2d_hant_rendered_item:承建 in 25) [SchemaSimilarity], result of: ... 0.502738 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.128274 <= boost ... ... 0.803899 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 55.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.554276 <= 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 ... ... ... 408.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.553978 <= weight(tm_X3b_zh_X2d_hant_rendered_item:建商 in 25) [SchemaSimilarity], result of: ... 0.553978 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.162884 <= boost ... ... 0.859468 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 52.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.554276 <= 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 ... ... ... 408.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.872783 <= weight(tm_X3b_zh_X2d_hant_rendered_item:的展 in 25) [SchemaSimilarity], result of: ... 0.872783 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 1.279867 <= 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 ... ... 0.650997 <= 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 ... ... ... 408.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.133423 <= weight(tm_X3b_zh_X2d_hant_rendered_item:設備 in 25) [SchemaSimilarity], result of: ... 1.133423 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.333123 <= 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 ... ... 0.383389 <= 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 ... ... ... 408.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.139052 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展覽 in 25) [SchemaSimilarity], result of: ... 0.139052 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.466275 <= 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 ... ... 0.554276 <= 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 ... ... ... 408.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.978882 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展會 in 25) [SchemaSimilarity], result of: ... 0.978882 <= score(freq=7.0), computed as boost * idf * tf from: ... ... 1.757062 <= boost ... ... 0.685115 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 62.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.813167 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 7.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 408.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field