MURAKAMI VS MURAKAMI – An Art Show Not To Miss This Summer

Hong Kong – MURAKAMI vs MURAKAMI, a major exhibition of the prominent Japanese contemporary artist Takashi Murakami, opens from 1 June to 1 September in Hong Kong, taking up all three stories of the JC contemporary art gallery in Tai Kwun. Milton Exhibits is entrusted as the exhibition service provider in this show.

Featuring more than 60 paintings and sculptures, including 30 never before-seen pieces, the show would definitely be counted as one of Murakami’s biggest exhibitions. As a detail-attentive exhibition service provider that has won the trust of numerous art show organizers for excellent service quality, Milton Exhibits provided a wide range of services including materials production, furniture to lightingsin creating a stunning and immersive journey into the Japanese super-star artist’s multifaceted universe for the audience.

The show will stay throughout the whole summer season this year, so don’t miss it!

Service

Exhibition Contracting

Specialty

Themed Environment

Industry

Art & Film

Lifestyle/Entertainment

Location

Hong Kong

Have a project or plan? Let's talk.

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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 ... ... ... 104.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 2.076472 <= weight(tm_X3b_en_rendered_item:so in 76) [SchemaSimilarity], result of: ... 2.076472 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.393347 <= 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 ... ... 0.531221 <= 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 ... ... ... 104.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 2.076472 <= weight(tm_X3b_en_rendered_item:stori in 76) [SchemaSimilarity], result of: ... 2.076472 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.393347 <= boost ... ... 2.805378 <= idf, computed as log(1 + (N - 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n + 0.5) / (n + 0.5)) from: ... ... ... 4.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.849985 <= 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 ... ... ... 104.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 3.129870 <= weight(tm_X3b_en_rendered_item:stun in 76) [SchemaSimilarity], result of: ... 3.129870 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.651523 <= 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 ... ... 0.531221 <= 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 ... ... ... 104.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 3.129870 <= weight(tm_X3b_en_rendered_item:film in 76) [SchemaSimilarity], result of: ... 3.129870 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.651523 <= boost ... ... 3.567519 <= idf, computed as log(1 + (N - 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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 ... ... 0.518872 <= 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 0.236166 <= weight(tm_X3b_en_rendered_item:exhibit in 36) [SchemaSimilarity], result of: ... 0.236166 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.991734 <= 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 ... ... 0.518872 <= 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 5.397471 <= weight(tm_X3b_en_rendered_item:summer in 36) [SchemaSimilarity], result of: ... 5.397471 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 3.136817 <= 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

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n + 0.5) / (n + 0.5)) from: ... ... ... 8.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.544173 <= 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 ... ... ... 96.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.632822 <= weight(tm_X3b_en_rendered_item:provid in 70) [SchemaSimilarity], result of: ... 0.632822 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.822074 <= boost ... ... 0.638231 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 65.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.544173 <= 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 ... ... ... 96.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.349053 <= weight(tm_X3b_en_rendered_item:servic in 70) [SchemaSimilarity], result of: ... 0.349053 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.967339 <= 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 ... ... 0.544173 <= 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 ... ... ... 96.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.320795 <= weight(tm_X3b_en_rendered_item:exhibit in 70) [SchemaSimilarity], result of: ... 0.320795 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.991734 <= 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 ... ... 0.704808 <= 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 ... ... ... 96.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.834607 <= weight(tm_X3b_en_rendered_item:show in 70) [SchemaSimilarity], result of: ... 1.834607 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 3.591460 <= boost ... ... 0.938718 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 48.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.544173 <= 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 ... ... ... 96.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field

Floating Garden @ One Raffles Place

1.281923 <= weight(tm_X3b_en_field_term_specialities_1:93 in 28) [SchemaSimilarity], result of: ... 1.281923 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.159483 <= boost ... ... 2.159484 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 10.000000 <= n, number of documents containing term ... ... ... 90.000000 <= N, total number of documents with field ... ... 0.511974 <= 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 ... ... ... 1.377778 <= avgdl, average length of field 1.373212 <= weight(tm_X3b_en_rendered_item:30 in 28) [SchemaSimilarity], result of: ... 1.373212 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.242324 <= 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 ... ... 0.464840 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 1.681272 <= weight(tm_X3b_en_rendered_item:open in 28) [SchemaSimilarity], result of: ... 1.681272 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.349476 <= 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 ... ... 0.464840 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 1.977846 <= weight(tm_X3b_en_rendered_item:befor in 28) [SchemaSimilarity], result of: ... 1.977846 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.443083 <= 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 ... ... 0.464840 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 0.935634 <= weight(tm_X3b_en_rendered_item:includ in 28) [SchemaSimilarity], result of: ... 0.935634 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.645839 <= boost ... ... 1.222969 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 36.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.464840 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 0.211573 <= weight(tm_X3b_en_rendered_item:exhibit in 28) [SchemaSimilarity], result of: ... 0.211573 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.991734 <= 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 ... ... 0.464840 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 5.477519 <= weight(tm_X3b_en_rendered_item:japanes in 28) [SchemaSimilarity], result of: ... 5.477519 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 3.303046 <= 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 ... ... 0.464840 <= 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) ... ... ... 160.699190 <= avgdl, average length of field

Halloween Horror Night @ Universal Studios Singapore

0.753985 <= weight(tm_X3b_en_field_term_industry_1:81 in 58) [SchemaSimilarity], result of: ... 0.753985 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.065541 <= boost ... ... 1.897120 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 13.000000 <= n, number of documents containing term ... ... ... 89.000000 <= N, total number of documents with field ... ... 0.372990 <= 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 ... ... ... 2.000000 <= dl, length of field ... ... ... 1.303371 <= avgdl, average length of field 0.967444 <= weight(tm_X3b_en_rendered_item:lifestyl in 58) [SchemaSimilarity], result of: ... 0.967444 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.071162 <= 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 ... ... 0.474727 <= 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 ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.014422 <= weight(tm_X3b_en_rendered_item:entertain in 58) [SchemaSimilarity], result of: ... 1.014422 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.091301 <= 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 ... ... 0.474727 <= 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 ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.181033 <= weight(tm_X3b_en_rendered_item:wide in 58) [SchemaSimilarity], result of: ... 1.181033 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.159210 <= 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 ... ... 0.474727 <= 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 ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.960649 <= weight(tm_X3b_en_field_term_specialities_1:93 in 58) [SchemaSimilarity], result of: ... 0.960649 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.159483 <= boost ... ... 2.159484 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 10.000000 <= n, number of documents containing term ... ... ... 90.000000 <= N, total number of documents with field ... ... 0.383663 <= 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 ... ... ... 2.000000 <= dl, length of field ... ... ... 1.377778 <= avgdl, average length of field 1.247411 <= weight(tm_X3b_en_rendered_item:lifestyle/entertain in 58) [SchemaSimilarity], result of: ... 1.247411 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.184907 <= 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 ... ... 0.474727 <= 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 ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.247411 <= weight(tm_X3b_en_rendered_item:lifestyleentertain in 58) [SchemaSimilarity], result of: ... 1.247411 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.184907 <= 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 ... ... 0.474727 <= 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 ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.597917 <= weight(tm_X3b_en_rendered_item:numer in 58) [SchemaSimilarity], result of: ... 1.597917 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.310233 <= 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 ... ... 0.474727 <= 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 ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 2.739375 <= weight(tm_X3b_en_rendered_item:univers in 58) [SchemaSimilarity], result of: ... 2.739375 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.443083 <= 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 ... ... 0.643816 <= 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 ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.216073 <= weight(tm_X3b_en_rendered_item:exhibit in 58) [SchemaSimilarity], result of: ... 0.216073 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.991734 <= 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 ... ... 0.474727 <= 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 ... ... ... 144.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field