Multi-objective ranking of comments on web

Dalal, Onkar; Sengemedu, Srinivasan H.; Sanyal, Subhajit

doi:10.1145/2187836.2187894

Cited by 28 publications

(16 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The silicate glass plant (α4 alternative) satisfied all the set objectives optimally such that available resources will be maximally utilized. The results obtained were in agreement with earlier researchers [10][11][12][13][14].…”

Section: Discussionsupporting

confidence: 93%

“…The application of fuzzy set theory by defining membership function for each vague goal, into GP makes room for vague goal aspiration of the DM. Dalal et al [13] opined that ranking has to satisfy multiple objectives and such they used hodge decomposition for multi-objective ranking of comments. A good number of authors have worked on solving multi objective decision problems using various methods and their combinations which showed promising results.…”

mentioning

confidence: 99%

See 1 more Smart Citation

A Multi-Objective Decision Analysis of Plants for Maintenance Expert System Development

Adesusi¹,

Adetunji²,

Adejuyigbe³

et al. 2016

Appl. Theory Comput. Technol.

View full text Add to dashboard Cite

Effective decision making with evidence of possibility is important when faced with alternatives that are begging for attention. The alternative which proved to be most possible is given preference over the others. This paper applied the fuzzy mathematics based on Multi-Objective Decision Analysis (MODA) technique to solve the challenge of selecting a plant out of four alternatives to be considered for knowledge-based maintenance expert system development. The goal is to ensure the limited resources available is channeled towards developing the expert system for one production plant. Consequently, objectives were set and given preference ranks. Each plant was also ranked based on its performance under each objective. A fuzzy MODA technique was used to analyse the data derived from ranking of the objectives and plant. The silicate glass plant emerged as the plant that satisfied the set objectives optimally and was selected as the most preferred of the four plants.

show abstract

Section: Discussionsupporting

confidence: 93%

mentioning

confidence: 99%

A Multi-Objective Decision Analysis of Plants for Maintenance Expert System Development

Adesusi¹,

Adetunji²,

Adejuyigbe³

et al. 2016

Appl. Theory Comput. Technol.

View full text Add to dashboard Cite

show abstract

“…For example, Hsu et al [26] applied Support Vector Regression to rank the reviews of a popular news aggregator Digg. Dalal et al [18] explored multi-aspects ranking of reviews of news articles using Hodge decomposition. Different from both works, our work aims to rank the reviews according to their importance (not quality) to app developers (not users) from the software engineering perspective.…”

Section: Questions and Inquiriesmentioning

confidence: 99%

AR-miner: mining informative reviews for developers from mobile app marketplace

Chen

Lin

Hoi

et al. 2014

Proceedings of the 36th International Conference on Software Engineering

424

331

View full text Add to dashboard Cite

With the popularity of smartphones and mobile devices, mobile application (a.k.a. "app") markets have been growing exponentially in terms of number of users and downloads. App developers spend considerable effort on collecting and exploiting user feedback to improve user satisfaction, but suffer from the absence of effective user review analytics tools. To facilitate mobile app developers discover the most "informative" user reviews from a large and rapidly increasing pool of user reviews, we present "AR-Miner" -a novel computational framework for App Review Mining, which performs comprehensive analytics from raw user reviews by (i) first extracting informative user reviews by filtering noisy and irrelevant ones, (ii) then grouping the informative reviews automatically using topic modeling, (iii) further prioritizing the informative reviews by an effective review ranking scheme, (iv) and finally presenting the groups of most "informative" reviews via an intuitive visualization approach. We conduct extensive experiments and case studies on four popular Android apps to evaluate AR-Miner, from which the encouraging results indicate that AR-Miner is effective, efficient and promising for app developers.

show abstract

“…Comment Ranking: Hsu et al [9] developed a regression model for identifying and ranking comments within a Social Web community based on the community's expressed preferences. Dalal et al [10] built Hodge decomposition based rank aggregation technique to rank online comments on the social web. Comment Recommendation: Bansal et al [11] proposed 'Collaborative Correspondence Topic Models' to recommend comment-worthy blogs or news stories to a particular user (i.e., where she would be interested to leave comments on them), where user feature profile is generated by content analysis.…”

Section: Related Workmentioning

confidence: 99%

Public Sphere 2.0: Targeted Commenting in Online News Media

Mullick

Ghosh

Dutt

et al. 2019

Lecture Notes in Computer Science

View full text Add to dashboard Cite

With the increase in online news consumption, to maximize advertisement revenue, news media websites try to attract and retain their readers on their sites. One of the most effective tools for reader engagement is commenting, where news readers post their views as comments against the news articles. Traditionally, it has been assumed that the comments are mostly made against the full article. In this work, we show that present commenting landscape is far from this assumption. Because the readers lack the time to go over an entire article, most of the comments are relevant to only particular sections of an article. In this paper, we build a system which can automatically classify comments against relevant sections of an article. To implement that, we develop a deep neural network based mechanism to find comments relevant to any section and a paragraph wise commenting interface to showcase them. We believe that such a data driven commenting system can help news websites to further increase reader engagement.

show abstract

Multi-objective ranking of comments on web

Cited by 28 publications

References 16 publications

A Multi-Objective Decision Analysis of Plants for Maintenance Expert System Development

A Multi-Objective Decision Analysis of Plants for Maintenance Expert System Development

AR-miner: mining informative reviews for developers from mobile app marketplace

Public Sphere 2.0: Targeted Commenting in Online News Media

Contact Info

Product

Resources

About