White, R.W.; Jose, J.M.; Ruthven, I.: ¬A task-oriented study on the influencing effects of query-biased summarisation in web searching (2003)
0.00
0.001185225 = product of:
0.006518737 = sum of:
0.004782719 = weight(_text_:a in 1081) [ClassicSimilarity], result of:
0.004782719 = score(doc=1081,freq=12.0), product of:
0.030653298 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.026584605 = queryNorm
0.15602624 = fieldWeight in 1081, product of:
3.4641016 = tf(freq=12.0), with freq of:
12.0 = termFreq=12.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0390625 = fieldNorm(doc=1081)
0.0017360178 = weight(_text_:s in 1081) [ClassicSimilarity], result of:
0.0017360178 = score(doc=1081,freq=2.0), product of:
0.028903782 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.026584605 = queryNorm
0.060061958 = fieldWeight in 1081, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=1081)
0.18181819 = coord(2/11)
- Abstract
- The aim of the work described in this paper is to evaluate the influencing effects of query-biased summaries in web searching. For this purpose, a summarisation system has been developed, and a summary tailored to the user's query is generated automatically for each document retrieved. The system aims to provide both a better means of assessing document relevance than titles or abstracts typical of many web search result lists. Through visiting each result page at retrieval-time, the system provides the user with an idea of the current page content and thus deals with the dynamic nature of the web. To examine the effectiveness of this approach, a task-oriented, comparative evaluation between four different web retrieval systems was performed; two that use query-biased summarisation, and two that use the standard ranked titles/abstracts approach. The results from the evaluation indicate that query-biased summarisation techniques appear to be more useful and effective in helping users gauge document relevance than the traditional ranked titles/abstracts approach. The same methodology was used to compare the effectiveness of two of the web's major search engines; AltaVista and Google.
- Source
- Information processing and management. 39(2003) no.5, S.689-706
- Type
- a