Paper Info
Title
Effectively and efficiently supporting crowd-enabled databases via NoSQL paradigms
Abstract
In this paper we provide an overview of the Hints From the Crowd (HFC) project, whose main goal is to build a NoSQL database system for large collections of product reviews; the database is queried by expressing a natural language sentence; the result is a list of products ranked based on the relevance of reviews w.r.t. the natural language sentence. The best ranked products in the result list can be seen as the best hints for the user based on crowd opinions (the reviews). The HFC prototype has been developed as a web application, independent of the particular application domain of the collected product reviews. Queries are performed by evaluating a text-based ranking metric for sets of reviews, specifically devised for this system; the metric evaluates the relevance of product reviews w.r.t. a natural language sentence.
Year
DOI
Venue
2013
10.1145/2509908.2509914
SSW@VLDB
Keywords
Field
DocType
nosql paradigm,result list,best hint,reviews w,crowd-enabled databases,natural language sentence,product reviews w,particular application domain,product review,web application,nosql database system,hfc prototype,human computer interaction
Data mining,World Wide Web,Ranking,Computer science,Natural language,NoSQL,Application domain,Product reviews,Web application,Sentence,Database
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Alfredo Cuzzocrea11751200.90
Marcello Di Stefano201.35
Paolo Fosci343.54
Giuseppe Psaila4722192.45