This study is about finding an optimal solution for creating lists of similar classifieds. A list of similar classifieds consists of proposed ads recommended to users to help them find what they need based on their previous interest. The implementation of multiple query models, retrieval models, the diversification of the lists and their fusion are presented, described and evaluated. Furthermore, three alternative diversification methods and future work ideas are presented to conclude this book.