Analyzing URL queries
نویسندگان
چکیده
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 betweenURLqueries and non-URLqueries 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 nonURL 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.
منابع مشابه
Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data
In current search engines, ranking functions are learned from a large number of labeled pairs in which the labels are assigned by human judges, describing how well the URLs match the different queries. However in commercial search engines, collecting high quality labels is time-consuming and labor-intensive. To tackle this issue, this paper studies how to produce the true relevance...
متن کاملExploring URL Hit Priors for Web Search
URL usually contains meaningful information for measuring the relevance of a Web page to a query in Web search. Some existing works utilize URL depth priors (i.e. the probability of being a good page given the length and depth of a URL) for improving some types of Web search tasks. This paper suggests the use of the location of query terms occur in a URL for measuring how well a web page is mat...
متن کاملMining Search Engine Clickthrough Log for Matching N-gram Features
User clicks on a URL in response to a query are extremely useful predictors of the URL’s relevance to that query. Exact match click features tend to suffer from severe data sparsity issues in web ranking. Such sparsity is particularly pronounced for new URLs or long queries where each distinct query-url pair will rarely occur. To remedy this, we present a set of straightforward yet informative ...
متن کاملQuery-URL Bipartite Based Approach to Personalized Query Recommendation
Query recommendation is considered an effective assistant in enhancing keyword based queries in search engines and Web search software. Conventional approach to query recommendation has been focused on query-term based analysis over the user access logs. In this paper, we argue that utilizing the connectivity of a query-URL bipartite graph to recommend relevant queries can significantly improve...
متن کاملA search quality evaluation based on FCA
Commercial search engines, especially meta-search engines was designed to retrieve the information by submitting users’ queries to multiple conventional search engines and integrating their partial searching results generated by each search engine. How to find the best search engine for user queries is know as the selection problem of search engines. Recently, the selection problem has become a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- JASIST
دوره 61 شماره
صفحات -
تاریخ انتشار 2010