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POAdaptive user interface/environment algorithm
 

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    <p>I'm working on an <strong>information system</strong> (in C#) that (while my users use it) <strong>gathers statistical data</strong> on what pieces of information (tables &amp; records) each user is requesting the most, and what parts of the interface he/she uses most. I'm using this statistical data to <strong>make the application adaptive</strong> to the user's needs, both in the way the interface presents itself (eg: tab/pane-ordering) as in the way of using the frequently viewed information to (eg:) show higher in search results/suggestion-lists. </p> <p>What i'm looking for is an <strong>algorithm</strong>/formula to <strong>determine the current 'hotness'/relevance</strong> of these objects for a specific user. A simple 'hitcounter' for each object won't be sufficient because the user might view some information quite frequently for a period of time, and then moving on to the next, making the old information less relevant. So i think my algorithm also needs some sort of sliding/historical principle to account for the changing popularity of the objects in the application over time.</p> <p>So, the question is: Does anybody have some sort of algorithm that accounts for that 'popularity over time' ?</p> <p>Preferably with some explanation on the parameters :)</p> <p>Thanks!</p> <p>PS I've looked at other posts like <a href="https://stackoverflow.com/questions/32397/popularity-algorithm">Popularity algorithm</a> but i could't quite port it to my specific case. Any help is appreciated.</p>
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    1. COIs it sufficient to just increment the times visited by a limited amount each day? So you only add 1 to your counter once a day, then have it decrease over time?
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    2. COAlso take into account that some users *really hate changes* in the user interface.
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    3. COThere will always be users that hate changes in the UI, but you can't halt progress because of them.
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