Opinions carry a wealth of information! You have opinions within blogs, e-commerce sites, user review sites, expert review sites, social networking sites, and in many other sources. These unstructured, scattered and disorganized opinions when seen individually, seem very ordinary. However, as we aggregate, summarize and leverage these opinions in creative ways, these opinions can become powerful decision making tools for both users and organizations. For users, this means decision making becomes quicker and more informed, making you an empowered user. For companies, this entails improved user retention, improved conversion rates and happier customers. FindiLike Hotel Search showcases a suite of research driven technologies to help transform opinions into powerful decision support tools.
FindiLike Hotel Search was developed by Kavita Ganesan and ChengXiang Zhai, Professor of Computer Science at the University of Illinois at Urbana Champaign. This initiative started off as a research project to showcase the power of an Opinion-Driven Decision Support System. Some of the internal algorithms for Opinion Summarization are currently being used by other systems and researchers. The FindiLike system is currently being extended by students and is used for both evaluation of new algorithms as well as helping actual users to easily find hotels.
If you have questions about using our technology (or parts of it) for your data or within your own application, please e-mail email@example.com to find out more. If you have technical questions please contact firstname.lastname@example.org