In this study, we investigate the similarities and differences between rankings of search results by users and search engines. Sixty-seven students took part in a 3-week-long experiment, during which they were asked to identify and rank the top 10 documents from the set of URLs that were retrieved by three major search engines (Google, MSN Search, and Yahoo!) for 12 selected queries. The URLs and accompanying snippets were displayed in random order, without disclosing which search engine(s) retrieved any specific URL for the query. We computed the similarity of the rankings of the users and search engines using four nonparametric correlation measures in [0,1] that complement each other. The findings show that the similarities between the us...
The amount of digital data we produce every day far surpasses our ability to process this data, and ...
Purpose The objective of this paper is to characterize the changes in the rankings of the top ten r...
Search engines are currently the most popular method of information retrieval on the World Wide Web....
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
We describe the results of an experiment designed to study user preferences for different orderings ...
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
This paper investigates whether a search engine’s ordering of algorithmic results has an important i...
Evaluation of search engine result relevance has traditionally been an expensive process done by hum...
In this paper we present a number of measures that compare rankings of search engine results. We app...
Search-engines are among the most used resources on the Internet. Google, for example, now hosts ove...
This paper presents results comparing user preference for search engine rankings with measures of ef...
In this paper, we study the effects of three different kinds of search engine rankings on consumer b...
This paper presents results comparing user preference for search engine rankings with measures of ef...
The amount of digital data we produce every day far surpasses our ability to process this data, and ...
Purpose The objective of this paper is to characterize the changes in the rankings of the top ten r...
Search engines are currently the most popular method of information retrieval on the World Wide Web....
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
We describe the results of an experiment designed to study user preferences for different orderings ...
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
This paper investigates whether a search engine’s ordering of algorithmic results has an important e...
This paper investigates whether a search engine’s ordering of algorithmic results has an important i...
Evaluation of search engine result relevance has traditionally been an expensive process done by hum...
In this paper we present a number of measures that compare rankings of search engine results. We app...
Search-engines are among the most used resources on the Internet. Google, for example, now hosts ove...
This paper presents results comparing user preference for search engine rankings with measures of ef...
In this paper, we study the effects of three different kinds of search engine rankings on consumer b...
This paper presents results comparing user preference for search engine rankings with measures of ef...
The amount of digital data we produce every day far surpasses our ability to process this data, and ...
Purpose The objective of this paper is to characterize the changes in the rankings of the top ten r...
Search engines are currently the most popular method of information retrieval on the World Wide Web....