Filters








218,551 Hits in 5.8 sec

Designing a Ranking System for Product Search Engine Based on Mining UGC

Dr. Samira Chaabna, Professor Wang Hu, Dr. Mohammed Lutf
2015 Journal of Management Information System & E-commerce  
In this paper, we propose a ranking system for product search engine based on mining customers reviews. The product features pairs are extracted using Stanford typed dependencies.  ...  Thus, the automated mining of these reviews and extracting product features in order to generate a raking system present a valuable and useful tool for consumers to make a well-informed decision.  ...  The proposed system improves the search result by considering the product features preferred by consumers during the search process and by basing the search result on the previous consumers' opinions about  ... 
doi:10.15640/jmise.v2n1a2 fatcat:wwovkb7k7fdormrdgicmmuiasa

Consumers' Interest in Personalized Recommendations: The Role of Product-Involvement and Opinion Seeking

Nicolas Knotzer, Maria Madlberger
2007 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)  
This paper combines IS research and marketing research as it applies the theory of opinion seeking in order to investigate the influence of product involvement and opinion seeking on the interest of consumers  ...  Furthermore, as opinion seeking tendency is related to the product category, recommender systems are faced with varying target groups, depending on the product offerings.  ...  Only if internal search is not successful, the consumer starts an external search which covers a broad range of commercial and noncommercial information sources.  ... 
doi:10.1109/hicss.2007.146 dblp:conf/hicss/KnotzerM07 fatcat:uand2ehrm5gcrne72k75wxxkdu

Promoting Reviewer-Related Attribution: Moderately Complex Presentation of Mixed Opinions Activates the Analytic Process

Guangming Xie, Wenbo Du, Hongping Yuan, Yushi Jiang
2021 Sustainability  
However, too-complicated presentation types of WOM dispersion can impose excessively on consumers' cognitive load and eventually fail to activate the analytic system for promoting reviewer-related attribution  ...  The results demonstrated that mixed opinions expressed in moderately complex form, integrating average ratings and reviewers' impressions of products, was effective in promoting reviewer-related attribution  ...  For consumers who encounter mixed opinions, the activation of the heuristic system promotes more product-related attribution choice than reviewer-related attribution choice.  ... 
doi:10.3390/su13020441 fatcat:ilskeqlb6rapfojhtcsmdubisa

Electronic Word-of-mouth Marketing in E-commerce based on Online Product Reviews

PengPeng Zhang, Sheng Bin, Gengxin Sun
2015 International Journal of u- and e- Service, Science and Technology  
Many online consumers tend to wait for the opinions of early consumers before making a purchase decision to reduce the risk of buying products.  ...  So numerous E-commerce websites provide product reviews function for consumers to publicize their personal reviews of purchased products and thus facilitate word-of-mouth communication among consumers.  ...  Acknowledgement This paper is granted by the national training programs of innovation and entrepreneurship for undergraduates (No. 201411065001).  ... 
doi:10.14257/ijunesst.2015.8.8.26 fatcat:dx3l64u44rcsljxeqiy5agktle

Integrating Conflicting Reviews: Attributional Hypotheses of Consumer Response to Information Uncertainty depending on Prior Brand Attitude

Do-Hyung Park, Ingoo Han
2008 Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)  
Our findings show the underlying mechanism for the consumers' responses to the disagreements of others' opinions and give practical implications for online sellers.  ...  This study investigates how consumers evaluate a product when they read conflicting online consumer reviews of evaluations from previous consumers.  ...  For example, a product has 4 reviews with a 5 star-rating system.  ... 
doi:10.1109/hicss.2008.210 dblp:conf/hicss/ParkH08 fatcat:eboq5fhwurashhaa554h6yvrvm

A Method for Consensus Reaching in Product Kansei Evaluation Using Advanced Particle Swarm Optimization

Yan-pu Yang
2017 Computational Intelligence and Neuroscience  
The case study reveals that the proposed method is promising for reaching a consensus through searching optimal solutions by PSO and improving the reliability of consumers' evaluation opinions toward design  ...  Inertia Weight (LDW) method is proposed for consensus reaching by minimizing adjustment of consumers' opinions.  ...  Zhen LEI for providing suggestions and helping with conducting the experiment.  ... 
doi:10.1155/2017/9740278 pmid:28316619 pmcid:PMC5337795 fatcat:wvy5n6qfh5brnf6z5j7vvdqjsi

Aspect-Based Sentiment Analysis Using Smart Company and Hotel Aspect Review Data

C. Selvi, Niveda. C. P
2020 International Journal of Scientific Research in Science and Technology  
The important product aspects are identified based on two observations: 1) the important aspects are usually commented on by a large number of consumers and 2) consumer opinions on the important aspects  ...  Aspect frequency and the influence of consumer opinions given to each aspect over their overall opinions are identified for hotel reviews whereas for company reviews approach adopts language processing  ...  The Websites such as CNet.com require consumers to give an overall rating on the product, describe concise positive and negative opinions (i.e.Pros and Cons) on some product aspects, as well as write a  ... 
doi:10.32628/ijsrst207223 fatcat:odxxili3hvcc5nuqdj2wuqefby

The Impact of Online Recommendations and Consumer Feedback on Sales

Pei-Yu Sharon Chen, Shin-yi Wu, Jungsun Yoon
2004 International Conference on Information Systems  
opinions and experiences to reduce quality uncertainty, and in developing recommendation systems that help customers identify goods in which they might have an interest.  ...  This is consistent with the search cost argument: a consumer's search cost for less-popular books may be higher, and thus they may rely more on recommendations to locate a product of interest.  ...  -Twenty-Fifth International Conference on Information Systems  ... 
dblp:conf/icis/ChenWY04 fatcat:pmdi2pmfa5duzj3izpuqdx2qtm

Supporting Context Sensitive Lean Product Service Engineering

Rui Neves-Silva, Paulo Pina, Philipp Spindler, Giuditta Pezzotta, Dimitris Mourtzis, Mariangela Lazoi, Dimitris Ntalaperas, Ana Rita Campos
2016 Procedia CIRP  
service systems.  ...  Consumers are now requesting highly customized products and services, i.e. demanding mass customization from manufacturing companies.  ...  The content of this publication does not reflect the official opinion of the European Union. Responsibility for the information and views expressed therein lies entirely with the author(s).  ... 
doi:10.1016/j.procir.2016.03.103 fatcat:r5resfpnlnhd7bpuinmlytpk6m

The role of consumer networks in firms' multi-characteristics competition and market-share inequality [article]

Antonios Garas, Athanasios Lapatinas
2017 arXiv   pre-print
We develop a location analysis spatial model of firms' competition in multi-characteristics space, where consumers' opinions about the firms' products are distributed on multilayered networks.  ...  Boundedly rational consumers have distinct ideal points/tastes over the possible available firm locations but, crucially, they are affected by the opinions of their neighbors.  ...  Firms' managers are assumed to use an "unconstrained" adaptive rule that constantly modifies product characteristics in the search for more customers.  ... 
arXiv:1601.05660v2 fatcat:uktiyhx2b5eulojmokyxnqakwa

Importance of Online Product Reviews from a Consumer's Perspective

Georg Lackermair, Daniel Kailer, Kenan Kanmaz
2013 Advances in Economics and Business  
The survey shows that reviews and ratings are an important source of information for consumers.  ...  Product reviews and ratings are popular tools to support buying decisions of consumers.  ...  Some sites may offer the possibility to search the reviews for a specific text. This is shown in Figure 3 , where product reviews from amazon.com were searched for the word ,,running".  ... 
doi:10.13189/aeb.2013.010101 fatcat:nvu5nv7qyvf7zkuccjvps3kt7m

IMPLEMENTATION OF A NOVEL SENTIMENT ANALYSIS TECHNIQUE FOR TWITTER DATA USING RHADOOP

Thasnim K M .
2016 International Journal of Research in Engineering and Technology  
Before choosing a product, consumers' usually go for others opinion about a particular product or a brand.  ...  Sentiment analysis or in other words, opinion mining of the tweets available on a micro blogging site such as Twitter offers insights to identify products and services that are relevant to users.  ...  This information gained can be used for analyzing immediate market reactions and it is an appropriate tool both for the consumers as well as manufacturers.  ... 
doi:10.15623/ijret.2016.0505076 fatcat:pdhd5fzsfzcmrfo5kgekkuqme4

Social Product Search - Enhancing Product Search with Mined (Sparse) Product Features

Stefan Hirschmeier, Marc Egger
2018 European Conference on Information Systems  
Search functionality in web shops is limited today. Consumers can only search for a restricted set of standard product features for each product group.  ...  For illustration, we present an example for the product group notebooks with 22480 reviews of 2745 products that we crawled from amazon.com.  ...  Cruz et al. (2010) describe a domain-specific, resource-based opinion extraction system and suggest that domain-specific knowledge is a valuable resource in order to build precise opinion extraction systems  ... 
dblp:conf/ecis/HirschmeierE18 fatcat:vmbquvgf5jfvrncrc6p7a7kulq

Application of Artificial Intelligent in the Prediction of Consumer Behavior from Facebook Posts Analysis

Pornpimon Kachamas, the School of Technopreneurship and Innovation Management, Graduate School, Chulalongkorn University, 254 Phayathai Rd., Phatumwan Bangkok, 10330 Thailand, Suphamongkol Akkaradamrongrat, Sukree Sinthupinyo, Achara Chandrachai
2019 International Journal of Machine Learning and Computing  
The aim of this research is to develop an analytic tool which can support online vendors to predict behaviors of the patrons according to Dentsu's AISAS perspective.  ...  An Artificial intelligent model was developed by the results from 75 specialists who evaluated the behavior that will likely occur after the comments have been posted.  ...  After that, the consumer will express his/her own opinion considering the others' opinions on that product or service. This stage leads to the decision of the consumer to buy (Action).  ... 
doi:10.18178/ijmlc.2019.9.1.770 fatcat:i7amftvb3ff7rb3ivnzz7hf5di

SOPING

Chao Zhou, Guang Qiu, Kangmiao Liu, Jiajun Bu, Mingcheng Qu, Chun Chen
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
In order to get an all-around opinion about one product, users need to go through plenty of web pages, which is time-consuming and inefficient.  ...  Specifically, we propose a novel search-based approach to extract product features and a feature-oriented sentence orientation determination method.  ...  It shows positive opinion for feature software but negative opinion for feature system.  ... 
doi:10.1145/1390334.1390480 dblp:conf/sigir/ZhouQLBQC08 fatcat:oha6lfn6kfgmhiwcfczdrrnywm
« Previous Showing results 1 — 15 out of 218,551 results