In this article, we will begin with a relational perspective to design an ecommerce application and gradually transition to a document-oriented approach.
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In this article, we initiate the transition from a relational schema to a document-oriented one (Azure Cosmos DB). In this context, we delve into the theoretical concepts, postponing the discussion of practical implementation details to the subsequent post.
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In this concluding article, we put into action the principles and techniques we discussed earlier within the context of our illustrative ecommerce example.
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In this article, we will implement what we theoretically mentioned in the last post and code the tf-idf algorithm (here in C# but the programming language can be easily adpated).
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In this post, we will introduce a widely adopted approach to perform content-based filtering—the tf-idf algorithm.
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In this post, we will precisely outline the scope of our study and introduce key definitions that will be extensively utilized throughout this series.
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Beginning today, we are commencing a series of articles on constructing a recommendation system. Our objective is to implement and code the theoretical concepts that underlie it.
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Starting today, we are commencing a series of articles on designing a very simple C# application, employing the best practices of software engineering, including test-driven development and refactoring.
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In this article, we will describe what test-driven development is and how it will be applied to our toy example.
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In this article, we will implement a simplified code for the cron parser to make the tests pass and, thereby, have a first version of our application.
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