Balog, K.; Schuth, A.; Dekker, P.; Tavakolpoursaleh, N.; Schaer, P.; Chuang, P.-Y.: Overview of the TREC 2016 Open Search track Academic Search Edition (2016)
0.00
0.0022155463 = product of:
0.0044310926 = sum of:
0.0044310926 = product of:
0.008862185 = sum of:
0.008862185 = weight(_text_:a in 43) [ClassicSimilarity], result of:
0.008862185 = score(doc=43,freq=8.0), product of:
0.043477926 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.037706986 = queryNorm
0.20383182 = fieldWeight in 43, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=43)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- We present the TREC Open Search track, which represents a new evaluation paradigm for information retrieval. It offers the possibility for researchers to evaluate their approaches in a live setting, with real, unsuspecting users of an existing search engine. The first edition of the track focuses on the academic search domain and features the ad-hoc scientific literature search task. We report on experiments with three different academic search engines: Cite-SeerX, SSOAR, and Microsoft Academic Search.
- Type
- a
