Paper Info
Title
SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information.
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 Si2p, a restaurant recommendation <u>S</u>ystem with <u>P</u>reference queries on <u>I</u>ncomplete <u>I</u>nformation. 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.
Year
DOI
Venue
2016
10.14778/3007263.3007296
PVLDB
Field
DocType
Volume
Server-side,Data integration,Recommender system,Skyline,Data mining,Computer science,Complete information,Database
Journal
9
Issue
ISSN
Citations 
13
2150-8097
2
PageRank 
References 
Authors
0.36
0
6
Name
Order
Citations
PageRank
Xiaoye Miao1114.59
Yunjun Gao286289.71
Gang Chen371275.60
Huiyong Cui4201.90
Chong Guo520.36
Weida Pan620.70