Ma, N.; Zheng, H.T.; Xiao, X.: ¬An ontology-based latent semantic indexing approach using long short-term memory networks (2017)
0.02
0.017073559 = product of:
0.042683896 = sum of:
0.024577528 = weight(_text_:u in 3810) [ClassicSimilarity], result of:
0.024577528 = score(doc=3810,freq=2.0), product of:
0.13587062 = queryWeight, product of:
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.041494254 = queryNorm
0.1808892 = fieldWeight in 3810, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.2744443 = idf(docFreq=4547, maxDocs=44218)
0.0390625 = fieldNorm(doc=3810)
0.018106367 = product of:
0.036212735 = sum of:
0.036212735 = weight(_text_:l in 3810) [ClassicSimilarity], result of:
0.036212735 = score(doc=3810,freq=2.0), product of:
0.16492525 = queryWeight, product of:
3.9746525 = idf(docFreq=2257, maxDocs=44218)
0.041494254 = queryNorm
0.2195706 = fieldWeight in 3810, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.9746525 = idf(docFreq=2257, maxDocs=44218)
0.0390625 = fieldNorm(doc=3810)
0.5 = coord(1/2)
0.4 = coord(2/5)
- Source
- Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part I. Eds.: L. Chen et al
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval