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A micro-service for recommendations based on item-title translations and the BM25 algorithm - implemented with Anserini.

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Micro template implementing recommendations with the help of Pyserini

This repository contains an adapted version of the STELLA Micro-Template. It is implemented with the help of pyserini - the Python wrapper to Anserini. The dataset recommendations are based on the abstracts of the datasets and queries made from the titles of the target items. Upon indexing a Lucene index is built. It contains the abstracts of the datasets. When providing the publication identifier (target item of the recommendation), it will be translated into the publication title, which, in turn, is used to query the index with a BM25 algorithm.

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A micro-service for recommendations based on item-title translations and the BM25 algorithm - implemented with Anserini.

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