I'm using the free version for Dialogflow, I'm unable to get the test to use more than 2 system entities, I need to use 2 more, time and date, can you please tell me if this type of account has restrictions or can I use more 2 system entities per Intent? Thank you
An agent can have up to 250 entity types and maximum 30,000 entity entries. So in all of your intents if the total number is less than those limits that shouldn't be the issue. Here's the link for Agent limits from doc Link to doc
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I have some question about some "best practice" for certain issues that we are facing using LUIS, QnA Maker, in particular for the Dispatcher:
1) Is there any best practice in case we have more that 15k utterances in the Dispatcher? That's looks like a limitation of the LUIS apps but the scalability of the model in the long run will be questionable.
2) Bing Spell Check for LUIS changes names and surnames for example, how to avoid this? I guess that Bing Spell Check is necessary when we are talking about ChatBots, since the typo are always behind the door, but using it for names is dangerous.
3) Cross validation is not supported out of the box, you would have split your data to folds with custom code (not difficult), use the command line to train and publish your model on your k-1/k folds, then send the k-fold utterances to the API one-by-one. Batch upload is only supported through the UI https://cognitive.uservoice.com/forums/551524-language-understanding-luis/suggestions/20082157-add-api-to-batch-test-model and is limited to a test set of 1,000 utterances. If we use the one-by-one approach, we pay $1,50 per 1k transactions https://azure.microsoft.com/de-de/pricing/details/cognitive-services/language-understanding-intelligent-services/ and this means to get cross-validation metrics for the 5 folds for example, we could be paying about 20$ for a single experiment with our current data, more if we add more data.
4) Model is a black box, which doesn't give us the ability to use custom features if needed.
I will try to address your concerns in the best possible way I can as follows:
1) As per the LUIS documentation,
Hence, you cannot exceed the limit. In case of Dispatch apps,if the total utterance exceeds 15k, then dispatch will down sample the utterances to keep it under 15k. There is an optional parameter(--doAutoActiveLearning) for CLI to do auto active learning which will down sample intelligently (remove non relevant utterances).
--doAutoActiveLearning: (optional) Default to false. LUIS limit on training-set size is 15000. When a LUIS app has much more utterances for training, Dispatch's auto active learning process can intelligently down sample the utterances.
2) Bing Spell Check helps users to correct misspelled words in utterances before LUIS predicts the score and entities of the utterance. However, if you want to avoid using Bing Spell Check API service, then you will need to add the correct and incorrect spelling which can be done in two ways:
Label example utterances that have the all the different spellings so that LUIS can learn proper spelling as well as typos. This option requires more labeling effort than using a spell checker.
Create a phrase list with all variations of the word. With this solution, you do not need to label the word variations in the example utterances.
3) As per the current documentation, a maximum of 1000 utterances are allowed per test. The data set is a JSON-formatted file containing a maximum of 1,000 labeled non-duplicate utterances. You can test up to 10 data sets in an app. If you need to test more, delete a data set and then add a new one. I would suggest you to report it as a feature request in the feedback forum.
Hope this helps.
Does Hybris commerce have price override or appeasements capability at Order level or Item level.
There are mulitple ways how that can be done in hybris, one example is using ASM (assisted service module) that offers special promotions that can be granted by a service agent.
There might also be ways to achieve this using the cs-cockpit (customer service cockpit), I haven't looked into that deeper though.
For ASM documentation look e.g. here: https://help.hybris.com/6.3.0/hcd/8ac06f10866910148d8c850e15b102d2.html
Hope this helps a bit.
It really depends on what exactly are you trying to achieve. If you like some sort of a discount or promotions, you can see the link provided by Sebastion. In the wiki you can also find other promotion and discount engines. Another solution would be to have multiple price rows per product. Hybris supports this. For example for a particular product, you can set a special price for a special customer or customerGroup. Also the same way you can set different prices for different quantities. For example an apple costs 1$ but if you buy 100, the price goes to 0.75$.
More information about the pricerows: here
Keep in mind that Hybris is highly customizable so you can also override some logic from the PriceFactory but i would recommend using first the out of the box price features and then try overriding the PriceFactory.
We want to map a customer's response to one of our actionable tasks.
Example 1 -
Customer: When will my vehicle be picked up?
System: Customer is asking for pickup date, so provide one.
Example 2 -
Customer: I don’t have title.
System: Customer has title issue. Create a task for support team to help him.
You can take a look at some APIs that will translate statements like that into intents. A great one I've worked with before is Nuance's mix.nlu which can be found here:
https://developer.nuance.com/public/index.php?task=mix
I want to use Azure ML to find related products using information from receipts from a store.
I got a file of reciepts:
44366,136778
79619,88975
78861,78864
53395,78129,78786,79295,79353,79406,79408,79417,85829,136712
32340,33973
31897,32905
32476,32697,33202,33344,33879,34237,34422,48175,55486,55490,55498
17800
32476,32697,33202,33344,33879,34237,34422,48175,55490,55497,55498,55503
47098
136974
85832
Each row represent one receipt and each number is a product id.
Given a product id I want to get a list of similar products, i.e. products that was bought together by other customers.
Can anyone point me in the right direction of how do to this?
This seems a good fit for their frequently bought together service (https://datamarket.azure.com/dataset/amla/mba). You may have to preprocess the dataset to get it in the required format. This service has a web UI as well: https://marketbasket.cloudapp.net/
This is a typical problem for Recommender, you can use a model called Machbox recommender to cover such a problem.
Recommender typically use Scoring about items to propose and the use some tricky calculation to predict scores for items users had not scored yet ( a score would be typically 1 user bought the item, 0 he did not)
If you need more details let me know ..(you have access to a free version of Azure ML where you can try all this)
Regards
I've just gotten into the Adwords API for an upcoming project and I need something quite simple actually, but I want to go about it the most efficient way.
I need code to retrieve the Global Monthly Search Volume for multiple keywords (in the millions). After reading about BulkMutateJobService, in the Google documentation they say
If you want to perform a very large number of operations (up to 500,000) on your AdWords campaigns and child objects, use BulkMutateJobService
But later on in the page they give limits of
No more than 25 OperationStream objects are allowed.
No more than 10,000 operations are allowed per BulkMutateRequest.
No more than 100 request parts are allowed.
as well as a few others. See source here http://code.google.com/apis/adwords/docs/bulkjobs.html
Now, my questions:
What do these numbers mean? If I have 1 million words I need information on, do I only need to perform 2 requests with 500K words each?
Also, are there examples of code that does this task?
I only need Global Monthly Search Volume and CPC for each keyword. I've searched online, but to no avail have I found any good example or anything leaning in that direction that utilizes BulkMutateJobService.
Any links, resources, code, advice you can offer? All is appreciated.
The BulkMutateJobService only allows for mutates, or changes, to the account. It does not provide the bulk retrieval of information.
You can fetch monthly search volume for keywords using the TargetingIdeaService. If you use it in STATS mode you can include up to 2500 keywords per request.
Estimates CPC values are obtained from the TrafficEstimatorService. You can request up to 500 keywords per request.
FYI, there is an official AdWords API Forum that you can ask questions on.