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It is not necessary to add phrases that are completely unrelated to the topic of our recipe recommendation agent, as these would definitely come back as an unknown intent. Thus, what you should do is think of related phrases that would be close to an intent but should not match with it. For example, “I do not like mushrooms” is food related and refers to an ingredient entity ‘mushroom’. Yet, you might argue that it should not be matched to any of the intents you specify , because you do not want users to discuss their likes and dislikes with your agent. Alternatively, you could also argue to include ‘I like’ and ‘I dislike’ as training phrases for filtering by something. But that is a design decision for you to make! The Fallback Intent should be updated as you add more intents throughout the project.
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If the word you enter for an entity entry has synonyms, enter these as synonyms rather than adding these as different entity entries! |
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timeKeyWord - words that refer to measurements of time (hour, minutes, etc.)
shortTimeKeyWord - for example ‘fast’, ‘quick’ etc.
negationKeyword - to specify that something needs to be omitted (for example ‘without’ or ‘don’t’)
easyKeyWord - to specify recipes that are not hard to make (for example ‘simple’)
When you are done your Entities page should look as follows:
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The ‘addFilter’ Intent
The intent for filtering recipes is one of the most important intents. It is used to filter recipes for the user based on a variety of criteria. This is the first intent that employs all the entities we have created. In the user expressions, where the user is asking to filter, all different entities need to occur and be tagged in the set of examples. For example, for a training phrase like “I want a Chinese recipe”, ‘Chinese' needs to be tagged as ‘cuisine’, so this phrase can be parsed by Dialogflow in order to apply the filter ‘cuisine’ to the recipes in our database. The ‘addFilter’ intent can be found in the project provided to you to start with and should be uploaded in Dialogflow by you.
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