ITEM-BASED RECOMMENDATION ENGINE FOR RECOMMENDING A HIGHLY-ASSOCIATED ITEM

摘要

Disclosed relates to a recommendation engine. The recommendation engine includes a query generation module configured to store a plurality of item vectors as a plurality of documents, configured to search for a reference document associated with the reference item among the plurality of the documents to extract a reference item vector and configured to generate a query including at least one user best associated with the extracted reference item vector if successful, each of the plurality of the item vectors corresponding to an element including a user-preference pair and a search module configured to calculate a correlation between the extracted reference item vector and each of the plurality of the item vectors in the plurality of the documents based on the generated query to provide the at least one recommendation item.