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    <p>I thought of this method for estimating the tail:</p> <p>for a list of tags, for each question in these tags give the 1st month after creation_date 80% of View_Count give the 2nd month after creation_date 10% of View_Count split 10% equally between the remaining months until today</p> <p>of course 80%, 10% is just a choice of mine, they can be calculated more precisely based on real data. Also, the second month 10% may be eliminated. All that logic is in the: <code>CASE WHEN diff ...</code> part.</p> <p>you obtain estimated view_count/question/month</p> <p>then all you have to do is sum view_count per month and if you want a window of time add a condition on the month</p> <p>I created a stored procedure that can do this, but you have to create first a temporary table #tags(Tag_name) where you put the desired tags.</p> <pre><code>CREATE PROCEDURE GetTagViews @startDate datetime, @endDate datetime As IF exists (SELECT null FROM sysobjects WHERE name = '#months' and type = 'U') DROP TABLE #MONTHS CREATE TABLE #MONTHS ( month datetime ) DECLARE @currMonth datetime SELECT @currMonth = MIN(Creation_Date) FROM Questions -- Populate #MONTHS with all the months from the oldest -- question creation_date to Today WHILE @currMonth &lt; getdate() BEGIN -- insert date starting at the beginning og the month INSERT INTO #MONTHS select @currMonth - day(@currMonth) + 1 SELECT @currMonth = dateadd(m, 1, @currMonth) -- advance 1 month END SELECT YEAR(month) y, MONTH(month) m, SUM(curr_month_views) Views FROM ( SELECT Q1.month, Q1.diff, round( CASE WHEN diff = dmin and diff = dmax THEN View_Count WHEN diff = dmin and diff &lt; dmax THEN 0.8*View_Count WHEN diff = dmin+1 and diff &lt; dmax THEN 0.1*View_Count WHEN diff = dmin+1 and diff = dmax THEN 0.2*View_Count WHEN diff &gt;= dmin+2 THEN 0.1/(dmax - (dmin+2) + 1)*View_Count ELSE 0 END, 0) curr_month_views FROM ( SELECT Q.question_id, m.month, DATEDIFF(m, Q.Creation_Date, m.month) diff, Q.View_Count, dmin, dmax FROM Questions Q, #MONTHS m, (SELECT MIN(DATEDIFF(m, Q.Creation_Date, m.month)) [dmin], MAX(DATEDIFF(m, Q.Creation_Date, m.month)) [dmax] FROM Questions Q,#MONTHS m WHERE DATEDIFF(m, Q.Creation_Date, m.month) &gt;= 0) MINMAX ) Q1 join QuestionTags QT on Q1.question_id = QT.question_id join #tags on #tags.Tag_Name = QT.Tag_Name ) b WHERE month &gt;= @startDate - day(@startDate) + 1 AND month &lt;= @enddate - day(@enddate) + 1 GROUP BY Year(month), Month(month) ORDER BY 1, 2 </code></pre> <p>If I run this procedure with the following data:</p> <pre><code>Question_Id View_Count Creation_Date tag_name ----------- ----------- ------------------------------ ---------- 0 42 2009-09-10 00:00:00.000 sql 1 326 2008-08-04 00:00:00.000 sql 2 377 2008-08-04 00:00:00.000 sql 3 568 2008-08-03 00:00:00.000 sql 4 839 2008-08-01 00:00:00.000 sql 5 228 2009-03-01 00:00:00.000 sql 6 178 2009-03-11 00:00:00.000 sql 7 348 2009-08-11 00:00:00.000 c# </code></pre> <p>populate #tags with 'sql' </p> <pre><code>GetTagViews '20090501', '20091001' y m Views ----------- ----------- --------------- 2009 5 21.000000000000 2009 6 21.000000000000 2009 7 21.000000000000 2009 8 21.000000000000 2009 9 55.000000000000 </code></pre> <p>populate #tags with 'c#' </p> <pre><code>GetTagViews '20090501', '20091001' y m Views ----------- ----------- ---------------------------------------- 2009 5 .000000000000 2009 6 .000000000000 2009 7 .000000000000 2009 8 278.000000000000 2009 9 35.000000000000 </code></pre> <p>populate #tags with both 'sql' &amp; 'c#' </p> <pre><code>GetTagViews '20090501', '20091001' y m Views ----------- ----------- ---------------- 2009 5 21.000000000000 2009 6 21.000000000000 2009 7 21.000000000000 2009 8 299.000000000000 2009 9 90.000000000000 </code></pre> <p>(you see that peak for (sql, c#) comparing to only (sql) for 2009-08, it's due to the c# question being asked that month.)</p> <p>N.B.: the rouding of estimates my lead to a difference of some views (~1) if you sum up detailed views and compare to the original data for a given question!</p>
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    1. POApproximating Page Views Per Tag (or Tag Group) Per Month with Limited Data?
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    1. COthis is very nice, thanks; i'm going to give it a shot
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      1. USAlex Papadimoulis
 

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