Search
10.133823 <= product of:
... 2.786771 <= sum of:
... ... 2.786771 <= weight(tm_X3b_en_rendered_item:best in 4) [SchemaSimilarity], result of:
... ... ... 2.786771 <= score(freq=5.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.561157 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 235.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.892534 <= 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
... ... ... ... ... 280.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 3.636403 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2025-07-07T16:35:25Z))+0.05)))
… Rhodes Once Again Makes Money’s Annual Best Colleges List Published on: July 07, 2025 Rhodes … Colleges in America list, which showcases the country’s top colleges and universities based on quality of education, affordability, and student outcomes. The company uses a unique star system, and Rhodes …
10.130471 <= product of:
... 2.250626 <= sum of:
... ... 2.250626 <= weight(tm_X3b_en_rendered_item:best in 28) [SchemaSimilarity], result of:
... ... ... 2.250626 <= score(freq=2.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.561157 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 235.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.720820 <= 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
... ... ... ... ... 440.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 4.501179 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2025-09-17T18:02:11Z))+0.05)))
Rhodes College Announces $2M Endowment to Support New Center for Career and Professional Development
… Rhodes College Announces $2M Endowment to Support New Center for Career and Professional … and personal goals.” The gift also carries a challenge component, and the college aims to raise an additional … realize that vision.” Rhodes has been recognized among the “Best Value Colleges for 2025” and the Top 20 Best Schools …
10.067652 <= product of:
... 8.339037 <= sum of:
... ... 3.962074 <= weight(tm_X3b_und_rendered_item:26 in 786) [SchemaSimilarity], result of:
... ... ... 3.962074 <= score(freq=2.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.728185 <= 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
... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.148589 <= weight(tm_X3b_und_rendered_item:to in 786) [SchemaSimilarity], result of:
... ... ... 0.148589 <= score(freq=11.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.079337 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 708.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.936445 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 11.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 3.962074 <= sum of:
... ... ... 3.962074 <= weight(tm_X3b_und_rendered_item:26 in 786) [SchemaSimilarity], result of:
... ... ... ... 3.962074 <= score(freq=2.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.720514 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 50.000000 <= n, number of documents containing term
... ... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... ... 0.728185 <= 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
... ... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.266299 <= weight(tm_X3b_und_rendered_item:for in 786) [SchemaSimilarity], result of:
... ... ... 0.266299 <= score(freq=3.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.166284 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 649.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.800736 <= 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
... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.207292 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2016-02-26T21:46:53Z))+0.05)))
… Rhodes Alumnus Develops New Technique to Protect Speech During Brain Surgery Published on: February 26, 2016 Surgeons sometimes have to operate on the brains of … alumnus Dr. Michael Long and his team of researchers have come up with a technique during surgery to protect areas of …
10.054939 <= product of:
... 2.073168 <= sum of:
... ... 2.073168 <= weight(tm_X3b_en_rendered_item:visit in 37) [SchemaSimilarity], result of:
... ... ... 2.073168 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.767980 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 191.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.586310 <= 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
... ... ... ... ... 376.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 4.850035 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2025-10-07T15:46:55Z))+0.05)))
… Rhodes Night at the Overton Park Shell to Celebrate the College’s 100 Years in … city, such as the Overton Park Shell. Nasser, who also is a composer, jazz historian, and author, will headline the … from Memphis before moving to New York City. As part of his visit to Memphis, Nasser will give a public talk on …
10.005669 <= product of:
... 4.538809 <= sum of:
... ... 2.269405 <= sum of:
... ... ... 2.269405 <= weight(tm_X3b_en_rendered_item:26 in 322) [SchemaSimilarity], result of:
... ... ... ... 2.269405 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... ... 0.542401 <= 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
... ... ... ... ... ... 504.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.269405 <= weight(tm_X3b_en_rendered_item:26 in 322) [SchemaSimilarity], result of:
... ... ... 2.269405 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.542401 <= 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
... ... ... ... ... 504.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 2.204470 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2024-07-25T20:20:50Z))+0.05)))
… Research Findings by Area High School and College Students to be Showcased on Campus Published on: July 25, 2024 On July 27, Rhodes College will serve as the host for a community exhibition featuring science research conducted by … their summer research in the McCallum Ballroom on July 26, from 9:30 a.m. to 11 a.m. The programs at UTHSC provide …
9.937309 <= product of:
... 1.907867 <= sum of:
... ... 1.907867 <= weight(tm_X3b_en_rendered_item:best in 2) [SchemaSimilarity], result of:
... ... ... 1.907867 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.561157 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 235.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.611043 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 5.208597 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2025-10-24T16:16:56Z))+0.05)))
… Named a Hooks National Book Award Finalist Published on: October 24, 2025 A book co-edited by history professors Dr. … Hamlin (Brown University) has been named a finalist for the Hooks National Book Award, which is presented annually to a non-fiction book that best furthers understanding of the Civil Rights Movement and …
9.925887 <= product of:
... 6.603243 <= sum of:
... ... 1.794330 <= weight(tm_X3b_en_rendered_item:best in 96) [SchemaSimilarity], result of:
... ... ... 1.794330 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.561157 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 235.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.574680 <= 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
... ... ... ... ... 408.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.404456 <= sum of:
... ... ... 2.404456 <= weight(tm_X3b_en_rendered_item:26 in 96) [SchemaSimilarity], result of:
... ... ... ... 2.404456 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... ... 2.000000 <= boost
... ... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... ... 0.574680 <= 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
... ... ... ... ... ... 408.000000 <= dl, length of field (approximate)
... ... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.404456 <= weight(tm_X3b_en_rendered_item:26 in 96) [SchemaSimilarity], result of:
... ... ... 2.404456 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.091998 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 138.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.574680 <= 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
... ... ... ... ... 408.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.503184 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2022-02-16T20:17:12Z))+0.05)))
… Rhodes Women’s Basketball Makes History Finishing Season Undefeated Published on: February 16, … Go Lynx! The 20-2 overall record is currently the best for any Lynx team since joining the SAA. It is their … be determined. The SAA semifinals and championship are Feb. 26 and Feb. 27. Here’s a recap of the Feb. 15 game against …
9.758483 <= product of:
... 7.859177 <= sum of:
... ... 0.151575 <= weight(tm_X3b_und_rendered_item:to in 1390) [SchemaSimilarity], result of:
... ... ... 0.151575 <= score(freq=20.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.079337 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 708.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.955266 <= tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:
... ... ... ... ... 20.000000 <= freq, occurrences of term within document
... ... ... ... ... 1.200000 <= k1, term saturation parameter
... ... ... ... ... 0.750000 <= b, length normalization parameter
... ... ... ... ... 536.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 2.328054 <= weight(tm_X3b_und_rendered_item:visit in 1390) [SchemaSimilarity], result of:
... ... ... 2.328054 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 2.254230 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 80.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.516375 <= 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
... ... ... ... ... 536.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 0.280101 <= weight(tm_X3b_und_rendered_item:for in 1390) [SchemaSimilarity], result of:
... ... ... 0.280101 <= score(freq=5.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 0.166284 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 649.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.842236 <= 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
... ... ... ... ... 536.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... ... 5.099447 <= weight(tm_X3b_und_rendered_item:buy in 1390) [SchemaSimilarity], result of:
... ... ... 5.099447 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 4.937739 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 5.000000 <= n, number of documents containing term
... ... ... ... ... 766.000000 <= N, total number of documents with field
... ... ... ... 0.516375 <= 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
... ... ... ... ... 536.000000 <= dl, length of field (approximate)
... ... ... ... ... 757.801600 <= avgdl, average length of field
... 1.241667 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2017-08-07T16:51:01Z))+0.05)))
… of staying around campus during the summer is being able to enjoy activities that might be placed on the back burner during the busy academic year. … able to have time in the summer to plan my own meals and buy fresh food from the Farmer's Market and support local …
9.704056 <= product of:
... 3.789465 <= sum of:
... ... 1.497314 <= weight(tm_X3b_en_rendered_item:best in 209) [SchemaSimilarity], result of:
... ... ... 1.497314 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.561157 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 235.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.479553 <= 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
... ... ... ... ... 728.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.292151 <= weight(tm_X3b_en_rendered_item:visit in 209) [SchemaSimilarity], result of:
... ... ... 2.292151 <= score(freq=2.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.767980 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 191.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.648240 <= 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
... ... ... ... ... 728.000000 <= dl, length of field (approximate)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 2.560798 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2024-12-18T15:17:47Z))+0.05)))
… From Fruit Flies to Elephants: Keith Adams Makes the Most of Research … saw medical school on the horizon, and looked for the best route for relevant coursework and hands-on research … Namibia and Botswana. They climbed sand dunes in Namibia, visited snake farms to study the different species, observed …
9.684180 <= product of:
... 7.317219 <= sum of:
... ... 5.156597 <= weight(tm_X3b_en_rendered_item:buy in 1651) [SchemaSimilarity], result of:
... ... ... 5.156597 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 4.219508 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 16.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.611043 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... ... 2.160622 <= weight(tm_X3b_en_rendered_item:visit in 1651) [SchemaSimilarity], result of:
... ... ... 2.160622 <= score(freq=1.0), computed as boost * idf * tf from:
... ... ... ... 2.000000 <= boost
... ... ... ... 1.767980 <= idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:
... ... ... ... ... 191.000000 <= n, number of documents containing term
... ... ... ... ... 1121.000000 <= N, total number of documents with field
... ... ... ... 0.611043 <= 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)
... ... ... ... ... 834.355040 <= avgdl, average length of field
... 1.323478 <= sum(float(boost_document)=1.0,product(const(21.0),0.1/(3.16E-11*float(ms(const(1775530800000),date(ds_created)=2019-10-21T15:34:30Z))+0.05)))
… Rhodes Professor and Student to Have Showings at Upcoming Indie Memphis Film Festival Published on: October 21, … the film’s producer. For Indie Memphis ticket information, visit here . …