Sporting Event - Hong Kong Dragon Boat Carnival

Hong Kong - Drums were beaten to enhance morale. Rowers shouted while paddling oars. The audience was cheering along the iconic harbor for the exciting competition. Dragon boat racing has been one of the traditional customs on Dragon Boat Festival for more than 20 centuries. The traditional custom was meant to be a religious ceremony but now it already becomes an international sport.

The event arm of Milton was appointed to take care of the festive decoration of Hong Kong Dragon Boat Carnival once again. Matching the festival theme, our team specialized in event management as well as venue decoration for the entire event. We did not stop at merely decorating. Instead, we targeted at making the venue as a tourism hot spot which attracts foreigners and local to stop by and know more about the tradition.

Despite boosting the carnival mood, the decoration of signage and booths correspondingly assisted the large population flow and the competition ended with cheers and laughter.

Service

Event Solution

Specialty

Festive Decoration

Industry

Government Departments & NGO

Hospitality & Tourism

Location

Hong Kong

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Hong Kong Dragon Boat Carnival

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Christmas Carnival in Discovery Bay

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n + 0.5) / (n + 0.5)) from: ... ... ... 7.000000 <= 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 2.517400 <= weight(tm_X3b_en_rendered_item:assist in 64) [SchemaSimilarity], result of: ... 2.517400 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.645486 <= 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 ... ... 0.518872 <= 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 3.077253 <= weight(tm_X3b_en_rendered_item:along in 64) [SchemaSimilarity], result of: ... 3.077253 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.788389 <= boost ... ... 3.316204 <= idf, computed as log(1 + (N - 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n + 0.5) / (n + 0.5)) from: ... ... ... 2.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.518872 <= 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 1.491143 <= weight(tm_X3b_en_rendered_item:hong in 64) [SchemaSimilarity], result of: ... 1.491143 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 2.849207 <= 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 ... ... 0.763892 <= 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 1.491143 <= weight(tm_X3b_en_rendered_item:kong in 64) [SchemaSimilarity], result of: ... 1.491143 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 2.849207 <= 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 ... ... 0.763892 <= 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 0.926359 <= weight(tm_X3b_en_rendered_item:event in 64) [SchemaSimilarity], result of: ... 0.926359 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 2.976033 <= boost ... ... 0.407483 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 82.000000 <= 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 3.824031 <= weight(tm_X3b_en_rendered_item:decor in 64) [SchemaSimilarity], result of: ... 3.824031 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 4.473707 <= boost ... ... 1.118980 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 40.000000 <= 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 12.156075 <= weight(tm_X3b_en_rendered_item:carniv in 64) [SchemaSimilarity], result of: ... 12.156075 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 5.365167 <= 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 ... ... 0.683233 <= 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 9.693441 <= weight(tm_X3b_en_rendered_item:festiv in 64) [SchemaSimilarity], result of: ... 9.693441 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 5.530294 <= 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 ... ... 0.763892 <= 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

Swire Properties White Christmas Street Fair

1.029184 <= weight(tm_X3b_en_rendered_item:care in 25) [SchemaSimilarity], result of: ... 1.029184 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.178894 <= boost ... ... 1.799857 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 20.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.485043 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.449619 <= weight(tm_X3b_en_rendered_item:event. in 25) [SchemaSimilarity], result of: ... 1.449619 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.199615 <= 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 ... ... 0.653238 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.488028 <= weight(tm_X3b_en_rendered_item:we in 25) [SchemaSimilarity], result of: ... 0.488028 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.323059 <= 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 ... ... 0.653238 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.862306 <= weight(tm_X3b_en_field_term_specialities_1:97 in 25) [SchemaSimilarity], result of: ... 1.862306 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.457359 <= boost ... ... 2.495956 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 7.000000 <= 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 2.911554 <= weight(tm_X3b_en_rendered_item:entir in 25) [SchemaSimilarity], result of: ... 2.911554 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.588774 <= 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 ... ... 0.653238 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 0.908398 <= weight(tm_X3b_en_rendered_item:venu in 25) [SchemaSimilarity], result of: ... 0.908398 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.749027 <= boost ... ... 1.070777 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 42.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.485043 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.193820 <= weight(tm_X3b_en_rendered_item:more in 25) [SchemaSimilarity], result of: ... 1.193820 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.923882 <= boost ... ... 1.279322 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 34.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.485043 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.275143 <= weight(tm_X3b_en_rendered_item:hong in 25) [SchemaSimilarity], result of: ... 1.275143 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.849207 <= 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 ... ... 0.653238 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.275143 <= weight(tm_X3b_en_rendered_item:kong in 25) [SchemaSimilarity], result of: ... 1.275143 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 2.849207 <= 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 ... ... 0.653238 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 1.096293 <= weight(tm_X3b_en_rendered_item:event in 25) [SchemaSimilarity], result of: ... 1.096293 <= score(freq=10.0), computed as boost * idf * tf from: ... ... 2.976033 <= boost ... ... 0.407483 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 82.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.904022 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 10.000000 <= freq, occurrences of term within document ... ... ... 1.200000 <= k1, term saturation parameter ... ... ... 0.750000 <= b, length normalization parameter ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 2.428121 <= weight(tm_X3b_en_rendered_item:decor in 25) [SchemaSimilarity], result of: ... 2.428121 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 4.473707 <= boost ... ... 1.118980 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 40.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.485043 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 9.372657 <= weight(tm_X3b_en_rendered_item:festiv in 25) [SchemaSimilarity], result of: ... 9.372657 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 5.530294 <= 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 ... ... 0.738612 <= 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 ... ... ... 136.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field

Halloween Horror Night @ Universal Studios Singapore

1.449685 <= weight(tm_X3b_en_rendered_item:produc in 58) [SchemaSimilarity], result of: ... 1.449685 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.035696 <= 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 ... ... 0.474727 <= 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 0.519743 <= weight(tm_X3b_en_rendered_item:team in 58) [SchemaSimilarity], result of: ... 0.519743 <= score(freq=2.0), computed as boost * idf * tf from: ... ... 1.295636 <= boost ... ... 0.623080 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 66.000000 <= 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 0.396213 <= weight(tm_X3b_en_rendered_item:design in 58) [SchemaSimilarity], result of: ... 0.396213 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.307696 <= 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 ... ... 0.474727 <= 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 0.988723 <= weight(tm_X3b_en_rendered_item:environ in 58) [SchemaSimilarity], result of: ... 0.988723 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.349667 <= boost ... ... 1.543137 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 26.000000 <= 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 0.625251 <= weight(tm_X3b_en_rendered_item:it in 58) [SchemaSimilarity], result of: ... 0.625251 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.498892 <= boost ... ... 0.878700 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 51.000000 <= 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 1.326154 <= weight(tm_X3b_en_rendered_item:project in 58) [SchemaSimilarity], result of: ... 1.326154 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.510115 <= 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 ... ... 0.474727 <= 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

Halloween @ Universal Studios Singapore

1.112184 <= weight(tm_X3b_en_rendered_item:hospit in 34) [SchemaSimilarity], result of: ... 1.112184 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.294387 <= boost ... ... 2.079442 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 15.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.413205 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 1.421932 <= weight(tm_X3b_en_field_term_industry_1:104 in 34) [SchemaSimilarity], result of: ... 1.421932 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.317415 <= boost ... ... 2.148434 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 10.000000 <= n, number of documents containing term ... ... ... 89.000000 <= N, total number of documents with field ... ... 0.502382 <= 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 ... ... ... 1.303371 <= avgdl, average length of field 1.862306 <= weight(tm_X3b_en_field_term_specialities_1:97 in 34) [SchemaSimilarity], result of: ... 1.862306 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.457359 <= boost ... ... 2.495956 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 7.000000 <= 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 2.450581 <= weight(tm_X3b_en_rendered_item:did in 34) [SchemaSimilarity], result of: ... 2.450581 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 1.788389 <= 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 ... ... 0.413205 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 2.783769 <= weight(tm_X3b_en_rendered_item:tourism in 34) [SchemaSimilarity], result of: ... 2.783769 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 2.833137 <= 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 ... ... 0.413205 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 0.980593 <= weight(tm_X3b_en_rendered_item:event in 34) [SchemaSimilarity], result of: ... 0.980593 <= score(freq=6.0), computed as boost * idf * tf from: ... ... 2.976033 <= boost ... ... 0.407483 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 82.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.808614 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from: ... ... ... 6.000000 <= 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) ... ... ... 160.699190 <= avgdl, average length of field 3.397648 <= weight(tm_X3b_en_rendered_item:decor in 34) [SchemaSimilarity], result of: ... 3.397648 <= score(freq=3.0), computed as boost * idf * tf from: ... ... 4.473707 <= boost ... ... 1.118980 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from: ... ... ... 40.000000 <= n, number of documents containing term ... ... ... 123.000000 <= N, total number of documents with field ... ... 0.678717 <= 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 ... ... ... 200.000000 <= dl, length of field (approximate) ... ... ... 160.699190 <= avgdl, average length of field 5.243388 <= weight(tm_X3b_en_rendered_item:festiv in 34) [SchemaSimilarity], result of: ... 5.243388 <= score(freq=1.0), computed as boost * idf * tf from: ... ... 5.530294 <= 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 ... ... 0.413205 <= 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) ... ... ... 160.699190 <= avgdl, average length of field