Milton Named Happy Company

Hong Kong - For the companies’ commitment to foster a happy workplace culture and raise the happiness-at-work level of the workforce, the Promoting Happiness Index Foundation jointly with the Hong Kong Productivity Council (HKPC) launched the Happiness-at-Work Promotional Scheme to encourage organizations to build a joyful workplace.

It is one of the great accomplishments for Milton to build up a better workplace for our employees. Last year, we have organized various interactive activities such as dinner with Cosplay and interest workshop, in order to help our employees to maintain a work-life balance. With this encouragement, we will keep up on providing a harmonious, cohesive and happy workplace for our valuable employees.

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Milton Exhibits Wins Singapore Good Design Mark

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Milton Obtains The 31st Annual Exhibit Design Awards - Bronze Award

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n + 0.5) / (n + 0.5)) from: ... ... ... 89.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.683233 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 6.007248 <= weight(tm_X3b_en_rendered_item:maintain in 83) [SchemaSimilarity], result of: ... 6.007248 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 3.716064 <= 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 ... ... 0.518872 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field

UFI Education Award

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n + 0.5) / (n + 0.5)) from: ... ... ... 107.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.811810 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.348772 <= weight(tm_X3b_en_rendered_item:our in 8) [SchemaSimilarity], result of: ... 0.348772 <= score(freq=5.0), computed as boost * idf * tf from: ... ... 1.268092 <= boost ... ... 0.326043 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 89.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.843560 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.094933 <= weight(tm_X3b_en_rendered_item:busi in 8) [SchemaSimilarity], result of: ... 1.094933 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.268709 <= 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 ... ... 0.518872 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.664102 <= weight(tm_X3b_en_rendered_item:proud in 8) [SchemaSimilarity], result of: ... 1.664102 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.494388 <= boost ... ... 2.146133 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 14.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.518872 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.775692 <= weight(ss_type:award in 8) [SchemaSimilarity], result of: ... 1.775692 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.626391 <= boost ... ... 2.401957 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 33.000000 <= n, number of documents containing term ... ... ... 369.000000 <= N, total number of documents with field ... ... 0.454545 <= 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 ... ... ... 1.000000 <= dl, length of field ... ... ... 1.000000 <= avgdl, average length of field 3.127013 <= weight(tm_X3b_en_rendered_item:whilst in 8) [SchemaSimilarity], result of: ... 3.127013 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.934360 <= 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 ... ... 0.518872 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.320156 <= weight(tm_X3b_en_rendered_item:exhibit in 8) [SchemaSimilarity], result of: ... 0.320156 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 2.754840 <= boost ... ... 0.152137 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 106.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.763892 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 3.984796 <= weight(tm_X3b_en_title:award in 8) [SchemaSimilarity], result of: ... 3.984796 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 3.126201 <= 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 ... ... 0.555509 <= 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 ... ... ... 3.000000 <= dl, length of field ... ... ... 5.398374 <= avgdl, average length of field 6.958120 <= weight(tm_X3b_en_rendered_item:st in 8) [SchemaSimilarity], result of: ... 6.958120 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 4.043810 <= 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 ... ... 0.518872 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 11.742223 <= weight(tm_X3b_en_rendered_item:award in 8) [SchemaSimilarity], result of: ... 11.742223 <= score(freq=4.0), computed as boost * idf * tf from: ... ... 7.171446 <= boost ... ... 2.016921 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 16.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.811810 <= 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 ... ... ... 112.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field

Milton Exhibits Receives ISO 9001 Quality Management System Certificate

0.111765 <= weight(tm_X3b_en_rendered_item:milton in 95) [SchemaSimilarity], result of: ... 0.111765 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.093003 <= boost ... ... 0.142791 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 107.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.716115 <= 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 ... ... ... 88.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.345058 <= weight(tm_X3b_en_rendered_item:our in 95) [SchemaSimilarity], result of: ... 0.345058 <= score(freq=4.0), computed as boost * idf * tf from: ... ... 1.268092 <= boost ... ... 0.326043 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 89.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.834577 <= 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 ... ... ... 88.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.819966 <= weight(tm_X3b_en_title:milton in 95) [SchemaSimilarity], result of: ... 0.819966 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.310489 <= boost ... ... 1.752229 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 21.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.357085 <= 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 ... ... ... 9.000000 <= dl, length of field ... ... ... 5.398374 <= avgdl, average length of field 1.465348 <= weight(tm_X3b_en_rendered_item:onli in 95) [SchemaSimilarity], result of: ... 1.465348 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.380883 <= boost ... ... 1.902511 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 18.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.557772 <= 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 ... ... ... 88.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.536503 <= weight(tm_X3b_en_rendered_item:oper in 95) [SchemaSimilarity], result of: ... 1.536503 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.406844 <= 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 ... ... 0.557772 <= 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 ... ... ... 88.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.209593 <= weight(tm_X3b_en_title:exhibit in 95) [SchemaSimilarity], result of: ... 1.209593 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.527517 <= 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 ... ... 0.357085 <= 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 ... ... ... 9.000000 <= dl, length of field ... ... ... 5.398374 <= avgdl, average length of field 1.775692 <= weight(ss_type:award in 95) [SchemaSimilarity], result of: ... 1.775692 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.626391 <= boost ... ... 2.401957 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 33.000000 <= n, number of documents containing term ... ... ... 369.000000 <= N, total number of documents with field ... ... 0.454545 <= 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 ... ... ... 1.000000 <= dl, length of field ... ... ... 1.000000 <= avgdl, average length of field 2.810666 <= weight(tm_X3b_en_rendered_item:allow in 95) [SchemaSimilarity], result of: ... 2.810666 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.796225 <= 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 ... ... 0.557772 <= 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 ... ... ... 88.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.795177 <= weight(tm_X3b_en_rendered_item:client in 95) [SchemaSimilarity], result of: ... 1.795177 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.096113 <= boost ... ... 1.195941 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 37.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.716115 <= 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 ... ... ... 88.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.349781 <= weight(tm_X3b_en_rendered_item:exhibit in 95) [SchemaSimilarity], result of: ... 0.349781 <= score(freq=4.0), computed as boost * idf * tf from: ... ... 2.754840 <= boost ... ... 0.152137 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 106.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.834577 <= 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 ... ... ... 88.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field

Milton Wins AFECA Outstanding Service Award

0.051947 <= weight(tm_X3b_en_rendered_item:share in 86) [SchemaSimilarity], result of: ... 0.051947 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 0.088479 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 113.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.587117 <= 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 ... ... ... 72.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.063404 <= weight(tm_X3b_en_rendered_item:share: in 86) [SchemaSimilarity], result of: ... 0.063404 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.016327 <= boost ... ... 0.106257 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 111.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.587117 <= 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 ... ... ... 72.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.221826 <= weight(tm_X3b_en_rendered_item:milton in 86) [SchemaSimilarity], result of: ... 0.221826 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.099747 <= boost ... ... 0.142791 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 107.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.739854 <= 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 ... ... ... 72.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.917719 <= weight(tm_X3b_en_title:milton in 86) [SchemaSimilarity], result of: ... 1.917719 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.517555 <= boost ... ... 1.752229 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 21.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.434726 <= 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 ... ... ... 6.000000 <= dl, length of field ... ... ... 5.398374 <= avgdl, average length of field 0.952670 <= weight(tm_X3b_en_rendered_item:we in 86) [SchemaSimilarity], result of: ... 0.952670 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.873584 <= boost ... ... 0.564669 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 70.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.587117 <= 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 ... ... ... 72.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 3.411250 <= weight(ss_type:award in 86) [SchemaSimilarity], result of: ... 3.411250 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 3.124431 <= boost ... ... 2.401957 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 33.000000 <= n, number of documents containing term ... ... ... 369.000000 <= N, total number of documents with field ... ... 0.454545 <= 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 ... ... ... 1.000000 <= dl, length of field ... ... ... 1.000000 <= avgdl, average length of field 1.328750 <= weight(tm_X3b_en_rendered_item:organ in 86) [SchemaSimilarity], result of: ... 1.328750 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 3.153647 <= 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 ... ... 0.587117 <= 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 ... ... ... 72.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.699500 <= weight(tm_X3b_en_rendered_item:our in 86) [SchemaSimilarity], result of: ... 0.699500 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 3.654163 <= boost ... ... 0.326043 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 89.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.587117 <= 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 ... ... ... 72.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field