SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information
نویسندگان
چکیده
The incomplete data is universal in many real-life applications due to data integration, the limitation of devices, etc. In this demonstration, we present SI2P, a restaurant recommendation System with Preference queries on Incomplete Information. SI2P is capable of friendly recommending desirable restaurants based on preference queries that take the incomplete ratings information into consideration. It adopts the browser-server model, and incorporates three functionality modules including friendly and convenient query submission, flexible and useful result explanation, timely and incremental dataset interaction. SI2P provides the server side based on an extended PostgreSQL database that integrates two types of preference queries, namely, skyline and top-k dominating queries over incomplete data. It also offers the browser-based interface for the users to interact with the system. Using a real restaurant dataset from TripAdvisor, we demonstrate SI2P can recommend and explore the restaurants in a friendly way.
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عنوان ژورنال:
- PVLDB
دوره 9 شماره
صفحات -
تاریخ انتشار 2016