Kris Jack, Ed Ingold and Maya Hristakeva.
Mendeley Suggest, a personalised research literature recommender, has been live for around nine months so we thought we’d mark this traditional human gestation period with a blog post about its architecture. We’ll present how the architecture currently looks, pointing out which technologies we use, justifying decisions that we’re happy with and lamenting those that we’re eager to reconsider.
A recommender system is more than just the smart algorithms that it implements. In fact, it’s a collection of five core components that are designed to interact with one another primarily to meet a set of user needs:
- User Interface
- Data Collection and Processing
- Recommender Model
- Recommendation Post-processing
- Online Modules
In the case of Mendeley Suggest, we aim to provide users with articles that help them to keep up-to-date with research in their field and explore relevant research that is, as of…
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