Affiliation:
1. Zhejiang University, Hangzhou, China
Abstract
The incomplete data is universal in many real-life applications due to data integration, the limitation of devices, etc. In this demonstration, we present S
i
2
p
, a restaurant recommendation <u>S</u>ystem with <u>P</u>reference queries on <u>I</u>ncomplete <u>I</u>nformation. S
i
2
p
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.
S
i
2
p
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 S
i
2
p
can recommend and explore the restaurants in a friendly way.
Subject
General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development
Cited by
9 articles.
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