View Based Review Exploration

Rajanala, Sailaja and Singh, Manish (2020) View Based Review Exploration. In: ACM International Conference Proceeding Series, 2 January 2021 - 4 January 2021.

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Abstract

In an e-commerce site, reviews help augment basic product descriptions with detailed user experiences and opinions on the product. These reviews greatly influence the purchase decisions of oncoming customers. Since these reviews are haphazardly presented, they call for befitting review exploration techniques. We propose a novel view based review exploration system that can be used to control the depth and content of the retrieved reviews. We propose three views depending on the depth personified by them: the Bird-eye view, the Unidirectional view, and the Microscopic view. The views present a ranked list of relevant reviews that meet the view criteria. The proposed view based exploration recorded precision as high as 0.85.

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IITH Creators:

IITH Creators	ORCiD
Rajanala, Sailaja	UNSPECIFIED
Singh, Manish	http://orcid.org/0000-0001-5787-1833

Item Type:

Conference or Workshop Item (Paper)

Uncontrolled Keywords:

E-commerce sites; Exploration systems; Exploration techniques; Microscopic views; Product descriptions; Purchase decision; Three views; View-based;Information Search and Retrieval; Learning to Rank; Review Exploration

Subjects:

Computer science

Divisions:

Department of Computer Science & Engineering

Depositing User:

. LibTrainee 2021

Date Deposited:

09 Jul 2021 10:33

Last Modified:

09 Jul 2021 10:33

URI:

http://raiithold.iith.ac.in/id/eprint/8201