Enabling Opinion-Driven Decision Making!
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 is a new generation search and review (opinion) analysis system that helps users find hotels based on their opinion preferences along with other common preferences. The opinion preferences can be expressed as a set of natural keywords such as 'close to place xyz', 'safe neighborhood', 'good breakfast', etc. In addition, the system also provides user review summarization tools to further analyze and narrow down on hotels in consideration. User productivity is significantly improved as you only have to select a hotel from a handful of choices.
FindiLike Hotel Search
pet friendly, clean, friendly staff, swimming pool, etc.
TourFindiLike Product Demo from Kavita Ganesan
Screenshots:[ See results on FindiLike Hotel Search system ]
Hotels within 5 miles of University of Arizona - said to be 'pet friendly' and 'clean'
Multi-word buzz phrases generated from reviews of the Radisson Suites Tucson
Well-formed opinion summaries for the Radisson Suites Tucson
[ See results on FindiLike Hotel Search system ]
ContactFindiLike 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