Comparing the Performance of US College Football Teams in the Web and on the Field
M. Klein, O. Hunsicker, und M. Nelson. HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia, New York, NY, USA, ACM, (Juli 2009)
Zusammenfassung
In previous research it has been shown that link-based web page metrics
can be used to predict experts' assessment of quality. We are interested
in a related question: do expert rankings of real-world entities correlate
with search engine (SE) rankings of corresponding web resources?
To answer this question we compared rankings of college football
teams in the US with rankings of their associated web
resources. We looked at the weekly polls released by
the Associated Press (AP) and USA Today Coaches Poll. Both rank the
top 25 teams according to the aggregated expertise
of sports writers and college football coaches.
For the entire 2008 season (8/2008 -- 1/2009), we compared
the ranking of teams (top 10 and top 25) according to the polls with the
rankings of one to eight URLs associated with each team in Google, Live
Search and Yahoo. We found moderate to high correlations
between the final rankings of 2007 and the SE ranking in mid 2008 but
the correlation between the polls and the SEs steadily decreased as
the season went on. We believe this is because the rankings in the
web graph (as reported via SEs) have "inertia" and do not rapidly
fluctuate as do the teams' on the field fortunes.
%0 Conference Paper
%1 klein2009comparing
%A Klein, Martin
%A Hunsicker, Olena
%A Nelson, Michael L.
%B HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia
%C New York, NY, USA
%D 2009
%I ACM
%K correlation engines fp085 fullPaper ht2009 objects ranking real search world
%T Comparing the Performance of US College Football Teams in the Web and on the Field
%X In previous research it has been shown that link-based web page metrics
can be used to predict experts' assessment of quality. We are interested
in a related question: do expert rankings of real-world entities correlate
with search engine (SE) rankings of corresponding web resources?
To answer this question we compared rankings of college football
teams in the US with rankings of their associated web
resources. We looked at the weekly polls released by
the Associated Press (AP) and USA Today Coaches Poll. Both rank the
top 25 teams according to the aggregated expertise
of sports writers and college football coaches.
For the entire 2008 season (8/2008 -- 1/2009), we compared
the ranking of teams (top 10 and top 25) according to the polls with the
rankings of one to eight URLs associated with each team in Google, Live
Search and Yahoo. We found moderate to high correlations
between the final rankings of 2007 and the SE ranking in mid 2008 but
the correlation between the polls and the SEs steadily decreased as
the season went on. We believe this is because the rankings in the
web graph (as reported via SEs) have "inertia" and do not rapidly
fluctuate as do the teams' on the field fortunes.
@inproceedings{klein2009comparing,
abstract = {In previous research it has been shown that link-based web page metrics
can be used to predict experts' assessment of quality. We are interested
in a related question: do expert rankings of real-world entities correlate
with search engine (SE) rankings of corresponding web resources?
To answer this question we compared rankings of college football
teams in the US with rankings of their associated web
resources. We looked at the weekly polls released by
the Associated Press (AP) and USA Today Coaches Poll. Both rank the
top 25 teams according to the aggregated expertise
of sports writers and college football coaches.
For the entire 2008 season (8/2008 -- 1/2009), we compared
the ranking of teams (top 10 and top 25) according to the polls with the
rankings of one to eight URLs associated with each team in Google, Live
Search and Yahoo. We found moderate to high correlations
between the final rankings of 2007 and the SE ranking in mid 2008 but
the correlation between the polls and the SEs steadily decreased as
the season went on. We believe this is because the rankings in the
web graph (as reported via SEs) have "inertia" and do not rapidly
fluctuate as do the teams' on the field fortunes.
},
added-at = {2009-06-16T15:00:02.000+0200},
address = {New York, NY, USA},
author = {Klein, Martin and Hunsicker, Olena and Nelson, Michael L.},
biburl = {https://www.bibsonomy.org/bibtex/2a2f59f415f8ce7a86149b1b60ffe7296/ht09},
booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
interhash = {bc8c26da69a8fa7b1662f686d1f00005},
intrahash = {a2f59f415f8ce7a86149b1b60ffe7296},
keywords = {correlation engines fp085 fullPaper ht2009 objects ranking real search world},
month = {July},
paperid = {fp085},
publisher = {ACM},
session = {Full Paper},
timestamp = {2009-06-16T15:00:05.000+0200},
title = {Comparing the Performance of US College Football Teams in the Web and on the Field},
year = 2009
}