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.
Effectively and efficiently supporting crowd-enabled databases via NoSQL paradigms
Cuzzocrea Alfredo;
2013-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
