Relative ranking – A biased rating

Zeeshan-ul-hassan Usmani; Fawzi Abdulkhaliq Alghamdi; Amina Tariq; Talal Naveed Puri

doi:10.1007/978-90-481-3658-2_5

Relative ranking – A biased rating

Zeeshan-ul-hassan Usmani, Fawzi Abdulkhaliq Alghamdi, Amina Tariq, Talal Naveed Puri

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

4 Citations (Scopus)

Abstract

Reviewers’ ratings have become one of the most influential parameters when making a decision to purchase or rent the products or services from the online vendors. Star Rating system is the de-facto standard for rating a product. It is regarded as one of the most visually appealing rating systems that directly interact with the consumers; helping them find products they will like to purchase as well as register their views on the product. It offers visual advantage to pick the popular or most rated product. Any system that is not as appealing as star system will have a chance of rejection by online business community. This paper argues that, the visual advantage is not enough to declare star rating system as a triumphant, the success of a ranking system should be measured by how effectively the system helps customers make decisions that they, retrospectively, consider correct. This paper argues and suggests a novel approach of Relative Ranking within the boundaries of star rating system to overcome a few inherent disadvantages the former system comes with.

Original language	English
Title of host publication	Innovations and Advances in Computer Sciences and Engineering
Editors	Tarek Sobh
Place of Publication	Netherlands
Publisher	Springer, Springer Nature
Pages	25-29
Number of pages	5
ISBN (Print)	9789048136582
DOIs	https://doi.org/10.1007/978-90-481-3658-2_5
Publication status	Published - 2010
Externally published	Yes
Event	International Conference on Systems, Computing Sciences and Software Engineering - Bridgeport, CT Duration: 5 Dec 2008 → 13 Dec 2008

Conference

Conference	International Conference on Systems, Computing Sciences and Software Engineering
City	Bridgeport, CT
Period	5/12/08 → 13/12/08

Access to Document

10.1007/978-90-481-3658-2_5

Cite this

@inproceedings{bfc6ae75689646c7a408a36ddba22d70,

title = "Relative ranking – A biased rating",

abstract = "Reviewers{\textquoteright} ratings have become one of the most influential parameters when making a decision to purchase or rent the products or services from the online vendors. Star Rating system is the de-facto standard for rating a product. It is regarded as one of the most visually appealing rating systems that directly interact with the consumers; helping them find products they will like to purchase as well as register their views on the product. It offers visual advantage to pick the popular or most rated product. Any system that is not as appealing as star system will have a chance of rejection by online business community. This paper argues that, the visual advantage is not enough to declare star rating system as a triumphant, the success of a ranking system should be measured by how effectively the system helps customers make decisions that they, retrospectively, consider correct. This paper argues and suggests a novel approach of Relative Ranking within the boundaries of star rating system to overcome a few inherent disadvantages the former system comes with.",

author = "Zeeshan-ul-hassan Usmani and Alghamdi, {Fawzi Abdulkhaliq} and Amina Tariq and Puri, {Talal Naveed}",

year = "2010",

doi = "10.1007/978-90-481-3658-2_5",

language = "English",

isbn = "9789048136582",

pages = "25--29",

editor = "Tarek Sobh",

booktitle = "Innovations and Advances in Computer Sciences and Engineering",

publisher = "Springer, Springer Nature",

address = "United States",

note = "International Conference on Systems, Computing Sciences and Software Engineering ; Conference date: 05-12-2008 Through 13-12-2008",

}

Usmani, Z, Alghamdi, FA, Tariq, A & Puri, TN 2010, Relative ranking – A biased rating. in T Sobh (ed.), Innovations and Advances in Computer Sciences and Engineering. Springer, Springer Nature, Netherlands, pp. 25-29, International Conference on Systems, Computing Sciences and Software Engineering, Bridgeport, CT, 5/12/08. https://doi.org/10.1007/978-90-481-3658-2_5

TY - GEN

T1 - Relative ranking – A biased rating

AU - Usmani, Zeeshan-ul-hassan

AU - Alghamdi, Fawzi Abdulkhaliq

AU - Tariq, Amina

AU - Puri, Talal Naveed

PY - 2010

Y1 - 2010

N2 - Reviewers’ ratings have become one of the most influential parameters when making a decision to purchase or rent the products or services from the online vendors. Star Rating system is the de-facto standard for rating a product. It is regarded as one of the most visually appealing rating systems that directly interact with the consumers; helping them find products they will like to purchase as well as register their views on the product. It offers visual advantage to pick the popular or most rated product. Any system that is not as appealing as star system will have a chance of rejection by online business community. This paper argues that, the visual advantage is not enough to declare star rating system as a triumphant, the success of a ranking system should be measured by how effectively the system helps customers make decisions that they, retrospectively, consider correct. This paper argues and suggests a novel approach of Relative Ranking within the boundaries of star rating system to overcome a few inherent disadvantages the former system comes with.

AB - Reviewers’ ratings have become one of the most influential parameters when making a decision to purchase or rent the products or services from the online vendors. Star Rating system is the de-facto standard for rating a product. It is regarded as one of the most visually appealing rating systems that directly interact with the consumers; helping them find products they will like to purchase as well as register their views on the product. It offers visual advantage to pick the popular or most rated product. Any system that is not as appealing as star system will have a chance of rejection by online business community. This paper argues that, the visual advantage is not enough to declare star rating system as a triumphant, the success of a ranking system should be measured by how effectively the system helps customers make decisions that they, retrospectively, consider correct. This paper argues and suggests a novel approach of Relative Ranking within the boundaries of star rating system to overcome a few inherent disadvantages the former system comes with.

U2 - 10.1007/978-90-481-3658-2_5

DO - 10.1007/978-90-481-3658-2_5

M3 - Conference proceeding contribution

SN - 9789048136582

SP - 25

EP - 29

BT - Innovations and Advances in Computer Sciences and Engineering

A2 - Sobh, Tarek

PB - Springer, Springer Nature

CY - Netherlands

T2 - International Conference on Systems, Computing Sciences and Software Engineering

Y2 - 5 December 2008 through 13 December 2008

ER -

Relative ranking – A biased rating

Abstract

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