White, R.W.; Jose, J.M.; Ruthven, I.: ¬A task-oriented study on the influencing effects of query-biased summarisation in web searching (2003)
0.02
0.015969018 = product of:
0.06387607 = sum of:
0.06387607 = weight(_text_:engines in 1081) [ClassicSimilarity], result of:
0.06387607 = score(doc=1081,freq=2.0), product of:
0.22757743 = queryWeight, product of:
5.080822 = idf(docFreq=746, maxDocs=44218)
0.04479146 = queryNorm
0.2806784 = fieldWeight in 1081, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.080822 = idf(docFreq=746, maxDocs=44218)
0.0390625 = fieldNorm(doc=1081)
0.25 = coord(1/4)
- 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.
