Hello,

So to what does the matrix T and vector h_t in this slide match to? :
https://docs.google.com/presentation/d/1MzIGFsATNeAYnLfoR6797ofcLeFRKSX7KB8GAYNtNPY/edit#slide=id.gf4d43b9e8_1_24

2017-05-10 21:10 GMT+04:00 Pat Ferrel <[email protected]>:

> Content based recommendations are based on, well, content. You can really
> only make recs if you have an example item as with the recommendations you
> see at the bottom of product page on Amazon.
>
> For this make sure t have lots of properties of items, even keywords from
> descriptions will work, but also categories, tags, brands, price ranges.
> etc. These all must be encoded as JSON arrays of strings so prices might be
> one of [“$0-$1”, “$1-$5”, …] other things like descriptions categories or
> tags can have several strings attached.
>
> Then issue an item-based query with itemBias set higher (>1) to make use
> of usage information first before content since it performs better. Then
> add query fields for the various properties but include the values of the
> item referenced in the “item” field.
>
> You will get similar items based on usage data unless there is none then
> content will take over to recommend things with similar content. Play with
> the itemBias, try >1 by varying amounts since you want usage based
> similarity over content most of the time you have usage based data in the
> model. There is no hard rule for the bias.
>
>
> On May 10, 2017, at 6:36 AM, Dennis Honders <[email protected]>
> wrote:
>
> According to the docs, the UR is considered as hybrid collaborative
> filtering / content-based filtering.
> In my case I have a purchase history. Quite a lot of products are never
> bought so traditional techniques won't be able to make recommendations. For
> those products (never bought/sold), will recommendations be made with
> content-based filtering techniques?
> If so, what techniques are used in UR?
>
> 2017-05-08 19:02 GMT+02:00 Pat Ferrel <[email protected]>:
>
>> yes to all for UR v0.5.0
>>
>> UR v0.6.0 is sitting in the `develop` branch waiting for one more minor
>> fix to be released. It uses the latest release of Mahout 0.13.0 so no need
>> to build it for the project. Several new features too. I expect it to be
>> out this week.
>>
>>
>> On May 8, 2017, at 3:07 AM, Dennis Honders <[email protected]>
>> wrote:
>>
>> Hi,
>>
>> Are the following docs up-to-date?
>>
>> PredictionIO: http://actionml.com/docs/pio_quickstart.
>> Is version 0.11.0 suitable for UR?
>>
>> The UR: http://actionml.com/docs/ur.
>> Is 0.5.0 the latest version?
>> Is Mahout still necessary?
>>
>> Thanks,
>>
>> Dennis
>>
>>
>
>

Reply via email to