Faceted Navigation for Reviews

Dewangan, Neelesh (2016) Faceted Navigation for Reviews. Masters thesis, Indian Institute of Technology Hyderabad.

[img] Text
CS14MTECH11009.pdf - Submitted Version
Restricted to Registered users only until 12 July 2019.

Download (3MB) | Request a copy

Abstract

User often go through the product reviews to get an insight into product quality and its various features. As reviews are unstructured and voluminous, user faces many diffculties to nd the relevant information when he reads the several reviews. And due to certain feature preferences, it becomes more cumbersome for a user to read the whole review which could be hundreds in lines. In this dissertation, we propose an interactive system to resolve these problems where user can extract the relevant reviews by few interaction with the user interface. Also in our work, we improved the user experience by providing more meaningful and relevant results by associating relationship between di erent features to our model. At last, we constructed the feature ontology tree to overcome existing information overload problem and provided a faceted navigation to explore the reviews in more efficient manner.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Faceted navigation, feature extraction, text processing, TD659
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 07 Sep 2016 09:26
Last Modified: 07 Sep 2016 09:26
URI: http://raiith.iith.ac.in/id/eprint/2731
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 2731 Statistics for this ePrint Item