JOURNAL ARTICLE

S i 2 p

Xiaoye MiaoYunjun GaoGang ChenHuiyong CuiChong GuoWeida Pan

Year: 2016 Journal:   Proceedings of the VLDB Endowment Vol: 9 (13)Pages: 1509-1512   Publisher: Association for Computing Machinery

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.

Keywords:
Computer science Preference Skyline Database Information retrieval World Wide Web Data mining Mathematics Statistics

Metrics

15
Cited By
1.67
FWCI (Field Weighted Citation Impact)
7
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
Geographic Information Systems Studies
Social Sciences →  Social Sciences →  Geography, Planning and Development

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