積金好僱主
香港 - 為表揚關顧及重視僱員退休保障的僱主，強制性公積金計劃管理局設立了「積金好僱主」嘉許計劃。目的除促進僱主履行法律責任外，更希望鼓勵僱主為僱員提供更佳的退休福利。
頒獎典禮於10月8日於香港會議展覽中心舉行。過百名得獎者到場接受嘉許，場面熱鬧。我們很高興獲得此獎項，感謝名唐集團人力資源服務部的付出，我們會繼續履行承諾，為員工提供更好的退休保障。
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2.156308 <= weight(tm_X3b_zh_X2d_hant_rendered_item:們會 in 72) [SchemaSimilarity], result of:
... 2.156308 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.162235 <= 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
... ... 0.559468 <= 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
... ... ... 152.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
2.156308 <= weight(tm_X3b_zh_X2d_hant_rendered_item:會繼 in 72) [SchemaSimilarity], result of:
... 2.156308 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.162235 <= 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
... ... 0.559468 <= 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
... ... ... 152.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
2.846458 <= weight(tm_X3b_zh_X2d_hant_rendered_item:工提 in 72) [SchemaSimilarity], result of:
... 2.846458 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.303228 <= 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
... ... 0.559468 <= 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
... ... ... 152.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
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... 3.650549 <= score(freq=2.0), computed as boost * idf * tf from:
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... ... ... 2.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 152.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
2.449486 <= weight(tm_X3b_zh_X2d_hant_rendered_item:計劃 in 72) [SchemaSimilarity], result of:
... 2.449486 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.841194 <= 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
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... ... ... 1.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
... ... ... 152.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
2.262316 <= weight(tm_X3b_zh_X2d_hant_rendered_item:獎項 in 75) [SchemaSimilarity], result of:
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... ... ... 6.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.717512 <= 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
... ... ... 152.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
2.156308 <= weight(tm_X3b_zh_X2d_hant_rendered_item:表揚 in 75) [SchemaSimilarity], result of:
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... ... ... 4.000000 <= 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
... ... ... 152.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
4.312615 <= weight(tm_X3b_zh_X2d_hant_rendered_item:嘉許 in 75) [SchemaSimilarity], result of:
... 4.312615 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 2.324470 <= 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
... ... 0.559468 <= 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
... ... ... 152.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
2.143929 <= weight(tm_X3b_zh_X2d_hant_rendered_item:獎項 in 69) [SchemaSimilarity], result of:
... 2.143929 <= score(freq=2.0), computed as boost * idf * tf from:
... ... 1.069365 <= 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
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... ... ... 2.000000 <= freq, occurrences of term within document
... ... ... 1.200000 <= k1, term saturation parameter
... ... ... 0.750000 <= b, length normalization parameter
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... ... ... 5.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
... ... 0.515111 <= 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
... ... ... 200.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
3.459516 <= weight(tm_X3b_zh_X2d_hant_rendered_item:此獎 in 69) [SchemaSimilarity], result of:
... 3.459516 <= score(freq=2.0), computed as boost * idf * tf from:
... ... 1.303228 <= 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
... ... 0.679964 <= 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
... ... ... 200.000000 <= dl, length of field (approximate)
... ... ... 280.666660 <= avgdl, average length of field
1.910029 <= weight(tm_X3b_zh_X2d_hant_rendered_item:智斌 in 6) [SchemaSimilarity], result of:
... 1.910029 <= 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
... ... 0.489250 <= 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
1.910029 <= weight(tm_X3b_zh_X2d_hant_rendered_item:斌先 in 6) [SchemaSimilarity], result of:
... 1.910029 <= 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
... ... 0.489250 <= 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
1.188914 <= weight(tm_X3b_zh_X2d_hant_rendered_item:獲得 in 6) [SchemaSimilarity], result of:
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... ... ... 17.000000 <= 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
0.126720 <= weight(tm_X3b_zh_X2d_hant_rendered_item:名唐 in 6) [SchemaSimilarity], result of:
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... ... 1.400076 <= boost
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... ... ... 111.000000 <= n, number of documents containing term
... ... ... 123.000000 <= N, total number of documents with field
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... ... ... 6.000000 <= 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)
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... ... 1.069365 <= 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
... ... 0.477270 <= 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
1.653360 <= weight(tm_X3b_zh_X2d_hant_rendered_item:承諾 in 78) [SchemaSimilarity], result of:
... 1.653360 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.111913 <= 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
... ... 0.477270 <= 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
2.089602 <= weight(tm_X3b_zh_X2d_hant_rendered_item:計劃 in 78) [SchemaSimilarity], result of:
... 2.089602 <= score(freq=1.0), computed as boost * idf * tf from:
... ... 1.841194 <= 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
... ... 0.477270 <= 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