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    <p>Many sites that use some type of popularity ranking do so by using a standard algorithm to determine a score and then decaying eternally over time. What I've found works better for sites with less traffic is a multiplier that gives a bonus to new content/activity - it's essentially the same, but the score stops changing after a period of time of your choosing.</p> <p>For instance, here's a pseudo-example of something you might want to try. Of course, you'll want to adjust how much weight you're attributing to each category based on your own experience with your site. Comments are rare, but take more effort from the user than a favorite/vote, so they probably should receive more weight.</p> <pre><code>score = (votes / 10) + comments age = UNIX_TIMESTAMP() - UNIX_TIMESTAMP(date_created) if(age &lt; 86400) score = score * 1.5 </code></pre> <p>This type of approach would give a bonus to new content uploaded in the past day. If you wanted to approach this in a similar way only for content that had been favorited or commented on recently, you could just add some WHERE constraints on your query that grabs the score out from the DB.</p> <p>There are actually two big reasons NOT to calculate this ranking on the fly.</p> <ol> <li>Requiring your DB to fetch all of that data and do a calculation on every page load just to reorder items results in an expensive query.</li> <li>Probably a smaller gotcha, but if you have a relatively small amount of activity on the site, small changes in the ranking can cause content to move pretty drastically. </li> </ol> <p>That leaves you with either caching the results periodically or setting up a cron job to update a new database column holding this score you're ranking by.</p>
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