YmalDB: exploring relational databases via result-driven recommendations

  title={YmalDB: exploring relational databases via result-driven recommendations},
  author={Marina Drosou and Evaggelia Pitoura},
  journal={The VLDB Journal},
The typical user interaction with a database system is through queries. However, many times users do not have a clear understanding of their information needs or the exact content of the database. In this paper, we propose assisting users in database exploration by recommending to them additional items, called Ymal (“You May Also Like”) results, that, although not part of the result of their original query, appear to be highly related to it. Such items are computed based on the most interesting… CONTINUE READING

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