Query log data for ad targeting
A WWW2006 paper out of Microsoft Research, "Finding Advertising Keywords on Web Pages" (PDF), claims that query log data is particularly useful for ad targeting.
Specifically, the researchers extracted from MSN query logs the keywords some people used to find a given page. They tested using that as one of many features for ad targeting. In their results, it was one of the most effective features.
Very interesting. It has always been harder to target ads to content than to search results because intent is much less clear.
By using the query log data in this way, the researchers were effectively using the intent of the searchers that arrived at the page as a proxy for the intent of everyone who arrived at the page.
Query log data for ad targeting
A WWW2006 paper out of Microsoft Research, "Finding Advertising Keywords on Web Pages" (PDF), claims that query log data is particularly useful for ad targeting.
Specifically, the researchers extracted from MSN query logs the keywords some people used to find a given page. They tested using that as one of many features for ad targeting. In their results, it was one of the most effective features.
Very interesting. It has always been harder to target ads to content than to search results because intent is much less clear.
By using the query log data in this way, the researchers were effectively using the intent of the searchers that arrived at the page as a proxy for the intent of everyone who arrived at the page.
30 dBm + 30 dBm = 60 dBm – stimmt das oder stimmt´s nicht? Warum ist 1 % einmal -40 dB, ein anderes
Mal 0,1 dB bzw. 0,05 dB? Auch erfahrene Ingenieure kommen bei diesen Fragen gelegentlich ins Grübeln.
Egal ob es um Leistungen, Spannungen, Reflexionsfaktor, Rauschzahl, Feldstärke und und und geht, immer taucht der Begriff dB auf. Was bedeutes das, wie rechnet man damit? Diese Applikationsschrift hilft Ihnen, früher Gelerntes wieder ins Gedächtnis zu holen.
This document provides an in-depth look at the process used in trying to solve real issues with the User Experience of a social bookmarking application. While it might be easy to simply take the first solution that works and assume that it’s the best solution, the first solution is very rarely the best solution. We found several solutions to several problems, and many of them worked and appeared to be decent solutions. It was only upon further investigation and doing more detailed research that we found hidden flaws in some solutions, issues with user satisfaction in other solutions, and even found some solutions that broke entirely under certain conditions.
This paper will describe the problems we faced in detail and then provide an explanation of the solutions evaluated for each problem, including the benefits and drawbacks of each solution. We will also identify the final solution chosen and why it was chosen.
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With Subversion 1.5 or later the merge is recorded on your local working copy in the svn:mergeinfo property. So this information is not lost.
You can see the merged revisions if you use svn log -g
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