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From Sean Owen <sro...@gmail.com>
Subject Re: how to do recommender incremental update for offline item-base similarity?
Date Tue, 21 Jun 2011 15:04:26 GMT
You can "warm" the cache if this is a concern, although 100K*100K item-item
pairs won't fit in memory. I'd reserve this for a thousand common items or
something like that.

Beyond this you'd probably need to do a little hacking to get exactly the
behavior you want.

On Tue, Jun 21, 2011 at 4:01 PM, Daniel Xiaodan Zhou <danithaca@gmail.com>wrote:

> Thanks Sean. Some of my clients' sites have 10K-100K items. Do you
> know if performance is OK if computing item-item similarity online?
> With caching, repeated access is fine. But the first user who triggers
> the item-item similarity could experience some delay...
>
>

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