Categories:
TV content get info use case
Global use case developed by Aura Platform Team that allows users to get content info specific TV channels in Aura
Introduction
The TV content get info use case is a global experience designed and developed by Aura Global Team that allows Telefónica customers to ask Aura for a TV channel information using a vocal interface.
Find additional information in following the documents:
- Discover the TV content get info specifications and the particularities of the use case development.
- Learn how to configure the generic dialog for TV content get info use case.
- Access to the TV content get info plugin.
- Discover which are the resources used by the TV content get info use case.
- Find out the NLP configuration for each OB for the TV content get info use case.
Specifications
Kernel API
In order to resolve the user’s request, Aura uses Video Contents normalized Kernel API.
Request-response model
TV content get info use case is adapted to the new request-response normalized model v3.
Available channels
Once TV content get info v3 use case is fully normalized, it will be available for any channel that implements normalized v3 request-response model including TV related data.
Currently, STB channels in ES are already available.
Display features
Currently, the normalized TV content get info use case includes basic get content information features for channels:
- Content get info by channel
Therefore, the answer could be of this type: “This is what they are broadcasting now on that channel”
Use case development
The TV content get info use case development includes these components:
Understanding features
-
TV content get info use case intent:
intent.tv.content_get_info -
TV content get info use case entities:
| Entity | Example |
|---|---|
ent.audiovisual_channel |
“What’s on in channel 1?” |
⚠️ Other entities in the user’s request are not taken into account in the get content info process.
In order to understand users’ requests (utterances), Aura is trained with:
- NLP expression to recognize the user’s utterance and detect her intention.
- TV catalog in order to understand TV content (channels) in the user’s utterance and detect them as Aura entities.
Use case logic
Once Aura has recognized the user’s utterance based on NLP components, the use case should be resolved based on:
-
Aura Bot dialog:
TV content get info is built over the generic dialog v3.
- Check the section Configuration of the generic dialog for TV content get info use case in order to know the required configuration for the TV content get info experience.
-
CLF Plugin:
Complex Logic Framework is used for the recognition of the user’s request.
- Check here the TV content get info plugin.