Vinexpo Hong Kong再創高峰

香港 – 兩年一度的國際葡萄酒及烈酒商貿展—Vinexpo Hong Kong於今年5月29日至31日在香港會議展覽中心圓滿舉行。名唐展覽在這場盛會中提供展會主建、展商服務以至活動營銷的全方位服務。

Vinexpo Hong Kong聚集了最新的葡萄酒及烈酒產品，加上一系列精彩豐富的展會活動，如主題會議、研討會和品酒會等，一直被公認為亞洲區首屈一指、不容錯過的行業盛事。每一屆展會都會吸引來自世界各地過千名參展商以及上萬名的觀眾前來進行交易、交流及了解最新的市場趨勢。

我們憑著過住展會中展現的卓越服務質素，再一次獲委任為這個享譽盛名的展會之大會承建商，負責參展商管理、展會設計和搭建、供應商管理及現場技術支援。除此之外，我們的活動營銷專業團隊亦於Vinexpo的官方派對“The Blend”一展所長，從舞台和背景幕製作、視聽設備和燈光控制以至場地佈置，嚴格監管每一環，使活動得以順利舉行。與此同時，我們的展商服務團隊亦憑著我們出色的創意思維贏得了多個知名品牌的信任，在這場酒展中為他們設計並搭建其特裝展位，當中包括Castel、Decanter和IVDP等。

在我們團隊的攜手努力下，這一屆Vinexpo Hong Kong創下歷史新高的入場人次，我們感到十分高興﹗

服務性質

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大會承建商

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正在計劃活動? 歡迎與我們討論詳情。

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0.479704 <= weight(tm_X3b_zh_X2d_hant_rendered_item:設計 in 65) [SchemaSimilarity], result of: ... 0.479704 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.000212 <= boost ... ... 0.717638 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 60.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.668307 <= 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 ... ... ... 216.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.891419 <= weight(tm_X3b_zh_X2d_hant_rendered_item:一個 in 65) [SchemaSimilarity], result of: ... 0.891419 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.218582 <= boost ... ... 1.094588 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 41.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.668307 <= 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 ... ... ... 216.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.552643 <= weight(tm_X3b_zh_X2d_hant_rendered_item:的國 in 65) [SchemaSimilarity], result of: ... 1.552643 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.301068 <= 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 ... ... 0.501848 <= 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 ... ... ... 216.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.653623 <= weight(tm_X3b_zh_X2d_hant_rendered_item:餐飲 in 65) [SchemaSimilarity], result of: ... 2.653623 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.058282 <= 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 ... ... 0.501848 <= 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 ... ... ... 216.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 5.434252 <= weight(tm_X3b_zh_X2d_hant_rendered_item:家館 in 65) [SchemaSimilarity], result of: ... 5.434252 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 4.553738 <= 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 ... ... 0.501848 <= 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 ... ... ... 216.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 4.701378 <= weight(tm_X3b_zh_X2d_hant_rendered_item:國家 in 65) [SchemaSimilarity], result of: ... 4.701378 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 4.784321 <= 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 ... ... 0.668307 <= 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 ... ... ... 216.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field

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1.098251 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展位 in 49) [SchemaSimilarity], result of: ... 1.098251 <= score(freq=4.0), computed as boost * idf * tf from: ... ... 1.062044 <= boost ... ... 1.370294 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 31.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.754649 <= 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 ... ... ... 312.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.827127 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展示 in 49) [SchemaSimilarity], result of: ... 0.827127 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.173393 <= 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 ... ... 0.434693 <= 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 1.656730 <= weight(tm_X3b_zh_X2d_hant_rendered_item:業界 in 49) [SchemaSimilarity], result of: ... 1.656730 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.543706 <= 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 ... ... 0.434693 <= 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 0.715715 <= weight(tm_X3b_zh_X2d_hant_rendered_item:展商 in 49) [SchemaSimilarity], result of: ... 0.715715 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.572169 <= 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 ... ... 0.605973 <= 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 ... ... ... 312.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 0.915160 <= weight(tm_X3b_zh_X2d_hant_rendered_item:參展 in 49) [SchemaSimilarity], result of: ... 0.915160 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.572247 <= boost ... ... 1.339041 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 32.000000 <= 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 1.060799 <= weight(tm_X3b_zh_X2d_hant_rendered_item:產品 in 49) [SchemaSimilarity], result of: ... 1.060799 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.659671 <= 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 ... ... 0.434693 <= 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

中國國際航空航太博覽會

0.780507 <= weight(tm_X3b_zh_X2d_hant_rendered_item:觀眾 in 52) [SchemaSimilarity], result of: ... 0.780507 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.191363 <= 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 ... ... 0.625418 <= 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 ... ... ... 280.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 1.518251 <= weight(tm_X3b_zh_X2d_hant_rendered_item:覽會 in 52) [SchemaSimilarity], result of: ... 1.518251 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.812922 <= boost ... ... 1.339041 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 32.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.625418 <= 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 ... ... ... 280.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field 2.235834 <= weight(tm_X3b_zh_X2d_hant_rendered_item:博覽 in 52) [SchemaSimilarity], result of: ... 2.235834 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.094571 <= 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 ... ... 0.625418 <= 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 ... ... ... 280.000000 <= dl, length of field (approximate) ... ... ... 280.666660 <= avgdl, average length of field