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Changes between Version 2 and Version 3 of AdvancedTopics

-              v2
+              v3
 With this we keep the worker's profile up to date with the worker's completed tasks.
 For this to work we will have to embed every new task request that the client registers, and we will do this with a background job.
+For this approach to work, every new task request submitted by a client must be embedded before it can participate in the recommendation process.
 == 2. Category Based Recommendation ==
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 For this purpose we embed the `worker_category` experience description and we get one embedding per category per worker. We do this in the script [attachment:embed_worker_category_description.py]. We also embed the task requests with their description with the script [attachment:embed_task_requests_description.py] and do the matching this way. We do this in the `ELSE` block of the `recommend_task_requests_for_worker` function.
 We will also have to run the scripts that embed the task request descriptions and the `worker_category` experience descriptions. We will also do this with a background job.
+Similarly, new worker category descriptions must also be embedded before they can be used for category-based recommendations.
 For saving the results from the scripts and for faster search we use these tables and indexes:
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-For new task requests and worker category records we will use the same scripts and run them as a background job every 5 minutes.