155,598 Hits in 6.2 sec

Context-Aware Helpfulness Prediction for Online Product Reviews [chapter]

Iyiola E. Olatunji, Xin Li, Wai Lam
2020 Lecture Notes in Computer Science  
Modeling and prediction of review helpfulness has become more predominant due to proliferation of e-commerce websites and online shops.  ...  We validated our model on human annotated dataset and the result shows that our model significantly outperforms existing models for helpfulness prediction.  ...  The reason for using the human annotated dataset is to verify that our model truly learns Context-aware Helpfulness Prediction for Online Product Reviews 7 deep semantics features of review text.  ... 
doi:10.1007/978-3-030-42835-8_6 fatcat:f6tinzn5wrgfxggayflxy2tjrm

Exploiting Review Neighbors for Contextualized Helpfulness Prediction [article]

Jiahua Du, Jia Rong, Hua Wang, Yanchun Zhang
2020 arXiv   pre-print
Four weighting schemes are designed to learn context clues from the selected neighbors. A review is then contextualized into the learned clues for neighbor-aware helpfulness prediction.  ...  The first end-to-end neural architecture is developed for neighbor-aware helpfulness prediction (NAP).  ...  From manufactures' perspective, online reviews also help understand consumer needs and improve product quality. Nonetheless, online reviews are uneven in quality.  ... 
arXiv:2006.09685v1 fatcat:psagg7rbtzhnlh5gjiof6uwdc4

Context-aware review helpfulness rating prediction

Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013 Proceedings of the 7th ACM conference on Recommender systems - RecSys '13  
We first identify various types of context information, model them mathematically, and propose a context-aware review helpfulness rating prediction framework CAP.  ...  Experimental results demonstrate the effectiveness of the proposed framework and the importance of context awareness in solving the review helpfulness rating prediction problem.  ...  Acknowledgments We thank the useful comments from Atish Das Sarma and anonymous reviewers. This work is, in part, supported by ARO (#025071) and NSF (#IIS-1217466).  ... 
doi:10.1145/2507157.2507183 dblp:conf/recsys/TangGHL13 fatcat:4p5b4kosdfbw3lfwwgyqrhvrwm

CrEOS: Identifying Critical Events in Online Sessions

Meghanath Macha, Shankar Venkitachalam, Deepak Pai
2020 Companion Proceedings of the Web Conference 2020  
In addition to the predictions, CrEOS identifies events that either hamper or help a conversion at three levels -consumer, consumer segment and transitions in marketing funnel.  ...  Click (web) or tap (mobile) event streams efficiently capture a consumer's experience in an online session.  ...  Consumer Segment Help online purchase Hamper online purchase Product hoarders Product Compare, Product Search Store Locator, Home Page Offer grabbers Product Reviews Store locator  ... 
doi:10.1145/3366424.3382185 dblp:conf/www/MachaVP20 fatcat:zyczc62jwbfnbmcn7krwqa6nny

Context Based Classification of Reviews Using Association Rule Mining, Fuzzy Logics and Ontology

Razia Sulthana A, Subburaj Ramasamy
2017 Bulletin of Electrical Engineering and Informatics  
For classification of customer reviews we extract the information from the reviews based on the context given by users. We use text mining techniques to tag the review and extract context.  ...  The sentence based classification predicts the relevant reviews, whereas the fuzzy based context method predicts the relevant instances among the relevant reviews.  ...  Introduction Reviewing commercial products is pervasive in online purchases.  ... 
doi:10.11591/eei.v6i3.682 fatcat:mnxt35mjfzhfhh2pmtovfy4c6m

Artificial Intelligence, Social Media and Supply Chain Management: The Way Forward

Apalak Khatua, Aparup Khatua, Xu Chi, Erik Cambria
2021 Electronics  
Subsequently, we have identified specific areas of SCM where context-aware sentiment analysis can enhance the overall efficiency.  ...  We argue that the context-specific application of AI, compared to generic approaches, is more efficient in retrieving meaningful insights from social media data for SCM.  ...  Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable.  ... 
doi:10.3390/electronics10192348 fatcat:vreqwfljebcudgl3drik7fn57a

Review-guided Helpful Answer Identification in E-commerce [article]

Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma
2020 arXiv   pre-print
In this paper, we propose the Review-guided Answer Helpfulness Prediction (RAHP) model that not only considers the interactions between QA pairs but also investigates the opinion coherence between the  ...  Product-specific community question answering platforms can greatly help address the concerns of potential customers.  ...  [12] proposed a neural architecture fed by both the content of a review and the title of the concerned product to conduct the product-aware prediction.  ... 
arXiv:2003.06209v1 fatcat:pao2dx4c2jaszowftltspfevm4

Online Information Review Research and Its Future Direction: A Literature Review

Philip Kofi Alimo, Lawrencia Agen Davis, Theophilus Teye Amanor
2020 The International Journal of Business & Management  
Proposed a novel unified approach for learning to rank products based on online product reviews.  ...  Research Methodology Applied/Context Summary of Research Findings Lee et al., 2019 Experimented a network for product ranking Table 5 : 5 Selected Publications on Ranking of Online Reviews  ... 
doi:10.24940/theijbm/2020/v8/i5/bm2005-022 fatcat:slz4ra7ohnaefizpfortk22p5i

The Power of Negative Reviews on a Freemium Platform: An Event Study of Pay-for-Negative Regulation

Jing Tang, Jagdip Singh, Kalle Lyytinen
2019 International Conference on Information Systems  
and awareness of negative reviews.  ...  This study examines a unique regulatory measure-pay-for-negative-in the context of a user-generated content platform.  ...  Theory and Context Prior research on online reviews Past research has examined how and why online reviews become helpful and lead to increases in business outcomes, such as sales.  ... 
dblp:conf/icis/TangSL19 fatcat:zh5pbxym5feibkbj53f2qdwshu

Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research Direction

Khalid Haruna, Maizatul Akmar Ismail, Suhendroyono Suhendroyono, Damiasih Damiasih, Adi Pierewan, Haruna Chiroma, Tutut Herawan
2017 Applied Sciences  
Their proposed classification was based on a five-layered architecture of context-aware systems to help researchers in extracting important lessons for the implementation of CARS systems.  ...  This paper presents a review of recent developmental processes as a fountainhead for the research of a context-aware recommender system.  ...  This paper presents a review of recent developmental processes as a fountainhead for the research of context-aware recommender system.  ... 
doi:10.3390/app7121211 fatcat:p43pqjs7lbdcbknbo76anzawui

Implications of e-reviews in Product Marketing [article]

Claire M. Hallado, Krista Nicole C. Jimenez, Christian Don I. Lacsado, Christina Marie R. Rodriguez
2022 Zenodo  
The researcher determined how essential e-reviews were and what was its effects on the consumer decision-making in purchasing products in an online marketplace.  ...  It is difficult to trust the products only itself that consumers see in the online marketplaces when they are about to purchase a certain product; but together with the e-reviews that are posted on the  ...  Lastly, e-reviews help the online sellers determine the value of their products.  ... 
doi:10.5281/zenodo.6615643 fatcat:mqbkc33kzfdohojexerueaa6ru

A Survey on Trust Prediction in Online Social Networks

Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cecile Paris, Adnan Mahmood, Shahpar Yakhchi, Mehmet Orgun
2020 IEEE Access  
INDEX TERMS Context-aware, data sparsity problem, online social networks, pair-wise trust prediction, trust, trust relations, time-aware.  ...  This process faces many challenges, such as the sparsity of user-specified trust relations, the context-awareness of trust and changes in trust values over time.  ...  Analysing the time-aware activities of bank customers may allow the loss of a trust relation for an existing product to be predicted.  ... 
doi:10.1109/access.2020.3009445 fatcat:5fckv3i7rncsnks3keelaqcfci

Online Reviews and Buying Decisions: A Demographic and Psychographic Analysis

Arthi Venkatakrishnan, Raj Devasagayam
2022 International Journal of Academic Research in Business and Social Sciences  
This research examines buyer perceptions of product reviews while shopping online.  ...  The survey collected both demographic and psychographic data, followed by responses on the use of online reviews in reaching online purchase decisions, and frequency of purchase in various product categories  ...  Moreover, Liu and Park (2008) ; Otterbacher (2009) proposed a model for predicting the helpfulness of reviews using various features.  ... 
doi:10.6007/ijarbss/v12-i5/13227 fatcat:pstvcid3fza6fm7essutnzyirq

Online Purchase Intention for Baby Products in Indian context using Linear Programming Models

2018 Australian Journal of Basic and Applied Sciences  
Citation: E.Pradeep, et al., Online Purchase Intention for Baby Products in Indian context using Linear Programming Models. Australian Journal of Basic and AppliedSciences, 12(8): 70-72.  ...  They go with the word of mouth; they browse into the website, they see for the product reviews, consumer reports, etc. before purchasing the baby products.  ...  They go with the word of mouth; they browse into the website, they see for the product reviews, consumer reports, etc. before purchasing the baby products.  ... 
doi:10.22587/ajbas.2018.12.8.14 fatcat:ibu4veee2rewxkmscx4unilljm

Web crawling based context aware recommender system using optimized deep recurrent neural network

Venugopal Boppana, P. Sandhya
2021 Journal of Big Data  
The recommendation is achieved by the particular users who predict the ratings for numerous items and recommend those items to other users.  ...  After pre-processing, the TF–IDF and word embedding model is used for every pre-processed reviews to extract the features and contextual information.  ...  sentiments analysis of online product review.  ... 
doi:10.1186/s40537-021-00534-7 fatcat:wcpwgwdmwbdtdl3osmmeqrngwi
« Previous Showing results 1 — 15 out of 155,598 results