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Predicting the Helpfulness of Online Customer Reviews across Different Product Types

Yoon-Joo Park
2018 Sustainability  
Furthermore, four data mining methods were examined to determine the one that best predicts review helpfulness for each product type using five real-life review datasets obtained from Amazon.com.  ...  Our findings also indicate that the support vector regression method predicts review helpfulness most accurately among the four methods for all five datasets.  ...  [4] and Zhang [21] applied a SVR method for predicting the review helpfulness using Amazon.com dataset.  ... 
doi:10.3390/su10061735 fatcat:4ql3ldautzhubfi37pkhcjtyiu

Predicting the Helpfulness Score of Product Reviews Using an Evidential Score Fusion Method

Fatemeh Fouladfar, Mohammad Naderi Dehkordi, Mohammad Ehsan Basiri
2020 IEEE Access  
Everyday many online product sales websites and specialized reviewing forums publish a massive volume of human-generated product reviews.  ...  INDEX TERMS Dempster-Shafer theory, emotion recognition, opinion mining, review helpfulness.  ...  The goal is to predict the helpfulness score s ∈ {0, 1} of a given test review r using the proposed classification method trained on R.  ... 
doi:10.1109/access.2020.2988872 fatcat:4wernhazpnbmnomiiahgzebfhu

A Hybrid Method to Analyze and Manage Tourist Arrivals

Vijai Dev
2019 Ottoman Journal of Tourism and Management Research  
This paper presents the development of a hybrid methodology to analyze and manage tourist arrivals for identifying the potential of a tourism destination and apperceiving the weaknesses to overcome.  ...  decision maker in determining the tourism carrying capacity of a destination; predicting the number of tourist arrivals; performing strategic planning; and determining optimal strategy plan for tourist  ...  The proposed methodology is a hybrid method as it combines safety stock analysis, SWOT analysis, AHP, and ABC analysis for analyzing and managing tourist arrivals.  ... 
doi:10.26465/ojtmr.2018339520 fatcat:hzrbwlz5gnflviz3ocf455yfqm

Futures literacy: A hybrid strategic scenario method

Riel Miller
2007 Futures : The journal of policy, planning and futures studies  
It goes on to outline a hybrid strategic scenario method for acquiring the capacities of futures literacy. r  ...  This article develops a topology of storytelling about the future, which is used to develop a definition of 'futures literacy'.  ...  The ''hybrid strategic scenario'' (HSS) method explained below is just one example of a multi-step, multi-method scenario development process.  ... 
doi:10.1016/j.futures.2006.12.001 fatcat:zkwlyfxp4zgcnckm7nywsab5m4

HybGFS: a hybrid method for genome-fingerprint scanning

Kosaku Shinoda, Nozomu Yachie, Takeshi Masuda, Naoyuki Sugiyama, Masahiro Sugimoto, Tomoyoshi Soga, Masaru Tomita
2006 BMC Bioinformatics  
Here, we present a hybrid method for genome-fingerprint scanning, known as HybGFS.  ...  The hybrid method allows the simultaneous identification and mapping of proteins without a priori information about their coding sequences.  ...  via Systems Biology") and a grant from a Grant-in-Aid of Creative Researches and Lead-  ... 
doi:10.1186/1471-2105-7-479 pmid:17069662 pmcid:PMC1643838 fatcat:t7ydvsernrdmbmsn3ihhzct7fy

A Hybrid Method for Credit Risk Assessment of Bank Customers

Sanaz Pourdarab, Ahmad Nadali, Hamid Eslami Nosratabadi
2011 International Journal of Trade, Economics and Finance  
The purpose of this research is to present a hybrid method for evaluating credit risk of bank customers.  ...  Then, T test has been run to select meaningful variables and DEMATEL method to determine effective ones.  ...  LITERATURE REVIEW A.  ... 
doi:10.7763/ijtef.2011.v2.90 fatcat:qz4nx3bk5bdjpn766zjunl6yzy

Efficiency Measurement With A Three-Stage Hybrid Method

İrfan Ertuğrul, Tayfun Öztaş
2018 International Journal of Assessment Tools in Education  
It was concluded that 7 firms were efficient in each year and the productivity of the sector increased between the periods as a result of the analysis. ARTICLE HISTORY  ...  The Malmquist Total Factor Productivity Index was used to analyze the productivity changes between periods.  ...  As a result, this proposed three-stage hybrid method can be used for efficient measurement in any sector/industry.  ... 
doi:10.21449/ijate.423602 fatcat:iemfhd7ghbhtrajkhaa2t4obmy

Hybrid simulation–optimization methods: A taxonomy and discussion

Gonçalo Figueira, Bernardo Almada-Lobo
2014 Simulation modelling practice and theory  
Future reviews can use the taxonomy here described to classify both general approaches and methods for specific application fields.  ...  Our study may guide researchers who want to use one of the existing methods, give insights into the cross-fertilization of the ideas applied in those methods and create a standard for a better communication  ...  For a brief review of ADP see [40] .  ... 
doi:10.1016/j.simpat.2014.03.007 fatcat:6bhsv2vo75ar7gtknq4l5tzswq

A novel hybrid method for robust infrared target detection

2017 KSII Transactions on Internet and Information Systems  
To this end, in this text, a hybrid method based on local sparse representation and contrast is proposed, which can effectively and robustly detect the infrared targets.  ...  Then, a local contrast based method is adopted to compute the target prediction image, in which the background clutters can be highly suppressed.  ...  Section 2 reviews the sparse representation theory. Section 3 presents the improved hybrid target detection method. Experimental results are presented and analyzed in Section 4.  ... 
doi:10.3837/tiis.2017.10.017 fatcat:coiamoz4grgmvmg5bvofpe4cl4

A Hybrid Data Mining Method for Customer Churn Prediction

E. Jamalian, R. Foukerdi
2018 Engineering, Technology & Applied Science Research  
In this article, a hybrid method is presented that predicts customers churn more accurately, using data fusion and feature extraction techniques.  ...  The results of applying this method on real data of a telecommunication company proved the effectiveness of the method.  ...  In this study, using data fusion and feature extraction techniques, a hybrid method is presented for a more accurate prediction of customer churn.  ... 
doi:10.48084/etasr.2108 fatcat:wpkgeduqm5hpzed3gemfjiylqi

A HYBRID SOFTWARE DEVELOPMENT METHOD FOR LARGE-SCALE PROJECTS: RATIONAL UNIFIED PROCESS WITH SCRUM

2009 Issues in Information Systems  
Finally, this paper suggests a new hybrid software development method that combines the Rational Unified Process with the Scrum process to accommodate the strengths of both methods while suppressing their  ...  The hybrid method can be utilized in the software industry, particularly, in the business sectors that deal with large-scale projects.  ...  However, the hybrid method will lose some degree of predictability, stability, and high assurance because of the agility of Scrum embedded into RUP.  ... 
doi:10.48009/2_iis_2009_340-348 fatcat:ylie3jm7ujahdaknrvxhlrwmyi

Hybrid Method for Endpoint Prediction in a Basic Oxygen Furnace

Ruibin Wang, Itishree Mohanty, Amiy Srivastava, Tapas Kumar Roy, Prakash Gupta, Kinnor Chattopadhyay
2022 Metals  
Strict monitoring and prediction of endpoints in a Basic Oxygen Furnace (BOF) are essential for end-product quality and overall process efficiency.  ...  This article aims to propose a novel hybrid algorithm for endpoint temperature, carbon, and phosphorus, based on heat and mass balance and a data-driven technique.  ...  A greater degree of P-partition can be achieved by using their proposed method.  ... 
doi:10.3390/met12050801 fatcat:twyoqnsc4bhgzevskv4clzkcf4

A Hybrid Method for Vendor Selection using Neural Network

Jitendra Kumar, Nirjhar Roy
2010 International Journal of Computer Applications  
This paper presents a hybrid model using analytic hierarchy process (AHP) and neural networks (NNs) theory to assess vendor performance.  ...  delivering a range of products covering various stages of electric power transmission and distribution system.  ...  A hybrid model is presented in [27] using data envelopment analysis (DEA), decision trees (DT) and neural networks (NNs) to assess supplier performance which yield a favorable classification and prediction  ... 
doi:10.5120/1631-2193 fatcat:yuan76pm7vaatb5bxfo5fx6h7q

Computational methods for large-scale inverse problems: a survey on hybrid projection methods [article]

Julianne Chung, Silvia Gazzola
2021 arXiv   pre-print
Hybrid projection methods combine iterative projection methods with variational regularization techniques in a synergistic way, providing researchers with a powerful computational framework for solving  ...  In this paper, we provide a practical and accessible introduction to hybrid projection methods in the context of solving large (linear) inverse problems.  ...  The GCV method is a 'leave-one-out' prediction method.  ... 
arXiv:2105.07221v2 fatcat:vviylanambfmjheocl7e5k3bnq

A Smart Recommender Based on Hybrid Learning Methods for Personal Well-Being Services

Rayan Nouh, Hyun-Ho Lee, Won-Jin Lee, Jae-Dong Lee
2019 Sensors  
The main focus of the paper is to propose a smart recommender system based on the methods of hybrid learning for personal well-being services, called a smart recommender system of hybrid learning (SRHL  ...  The effects of using the hybrid learning method are gathered with the help of the experimental results.  ...  Figure 4 . 4 Methods. Figure 4 . 4 Methods. Sensors 2019 , 2019 19, x FOR PEER REVIEW 9 of 21 and each helps in the extraction of the profile with full and accurate optimization.  ... 
doi:10.3390/s19020431 fatcat:j6fojqidhfcwbm5gphhfiocljy
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