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adjust weights of the keywords/entities according to the (long-term) user profile. Dictionary-based approach would be the most simple for entities: Build a dictionary with entities already used for queries and boost future entities if contained in dict. Other conceivable approaches encompass tf-idf, textRank, semantic relations, ...
Based on the weights, filter the keywords that are sent to the recommender.
The text was updated successfully, but these errors were encountered:
adjust weights of the keywords/entities according to the (long-term) user profile. Dictionary-based approach would be the most simple for entities: Build a dictionary with entities already used for queries and boost future entities if contained in dict. Other conceivable approaches encompass tf-idf, textRank, semantic relations, ...
Based on the weights, filter the keywords that are sent to the recommender.
The text was updated successfully, but these errors were encountered: