Leveraging app features to improve mobile app retrieval

The continued increase in the use of smartphones and other mobile devices has led to a substantial demand for applications. With growing availability apps, retrieving right application from large set become difficult. However, existing term-based search engines tend retrieve relevant apps based on query terms rather than considering app features really required by users, such as functionalities, technical or user-interface characteristics. novelty this paper lies extracting description social users' reviews, user-requested matching between them get feature-based score. In addition, we propose effective techniques that extract weight requested query. Finally, combine scores together obtain relevance experimental results indicate proposed approach is outperforms state-of-the-art retrieval models retrieval.