Lee, W.M.; Sanderson, M.: Analyzing URL queries (2010)
0.01
0.0053345575 = product of:
0.016003672 = sum of:
0.016003672 = weight(_text_:on in 4105) [ClassicSimilarity], result of:
0.016003672 = score(doc=4105,freq=2.0), product of:
0.109763056 = queryWeight, product of:
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.04990557 = queryNorm
0.14580199 = fieldWeight in 4105, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.199415 = idf(docFreq=13325, maxDocs=44218)
0.046875 = fieldNorm(doc=4105)
0.33333334 = coord(1/3)
- Abstract
- This study investigated a relatively unexamined query type, queries composed of URLs. The extent, variation, and user click-through behavior was examined to determine the intent behind URL queries. The study made use of a search log from which URL queries were identified and selected for both qualitative and quantitative analyses. It was found that URL queries accounted for ?17% of the sample. There were statistically significant differences between URL queries and non-URL queries in the following attributes: mean query length; mean number of tokens per query; and mean number of clicks per query. Users issuing such queries clicked on fewer result list items higher up the ranking compared to non-URL queries. Classification indicated that nearly 86% of queries were navigational in intent with informational and transactional queries representing about 7% of URL queries each. This is in contrast to past research that suggested that URL queries were 100% navigational. The conclusions of this study are that URL queries are relatively common and that simply returning the page that matches a user's URL is not an optimal strategy.