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A Recommendation Model Based on Latent Principal Factors in Web Navigation Data

Yanzan Zhou, Xin Jin, Bamshad Mobasher
2004 The Web Conference  
In this paper, we propose an approach based on a latent variable model, called Iterative Principal Factor Analysis, to discover such hidden factors in Web usage data.  ...  Our experimental results, performed on real Web usage data, verify that the proposed principal factor approach results in better predictive user models, when compared to more traditional approaches such  ...  In this paper we propose a Web usage mining approach to personalization based on Principal Factor Analysis (PFA).  ... 
dblp:conf/www/ZhouJM04 fatcat:q4um4dmubret7n6zye6a4uwac4

Web User Segmentation Based on a Mixture of Factor Analyzers [chapter]

Yanzan Kevin Zhou, Bamshad Mobasher
2006 Lecture Notes in Computer Science  
In our proposed framework, we model users' shared interests as a set of common latent factors extracted through factor analysis, and we discover user segments based on the posterior component distribution  ...  This paper proposes an approach for Web user segmentation and online behavior analysis based on a mixture of factor analyzers (MFA).  ...  Well-established latent variable models, such as Principal Component Analysis (PCA) and Factor Analysis (FA), are generally used for dimensionality reduction and discovery of latent structures in data.  ... 
doi:10.1007/11823865_2 fatcat:gj5536cmvvdkvnk6di4jhhik4u

A Latent Usage Approach for Clustering Web Transaction and Building User Profile [chapter]

Yanchun Zhang, Guandong Xu, Xiaofang Zhou
2005 Lecture Notes in Computer Science  
Latent Semantic Analysis (LSA) model is a commonly used approach for capturing semantic associations among co-occurrence observations..  ...  In this paper, we propose a LSA-based approach for such purpose. We demonstrated usability and scalability of the proposed approach through performing experiments on two real world datasets.  ...  In [16] , an algorithm based on Principal Factor Analysis (PFA) model derived from statistical analysis, is proposed to generate user access pattern and uncover latent factor by clustering user transactions  ... 
doi:10.1007/11527503_6 fatcat:taxogveflzgirpimvuk2ly2mii

Effective Web Presence Solutions for Enhancing e-Fashion Customers' Satisfaction [chapter]

2020 Proceedings of the International Conference on Economics and Social Sciences  
In this context, the paper is based on a quantitative analysis investigating the relationships between customer perception regarding the quality of product information, navigation ease, the online presence  ...  In the fashion industry, e-commerce is particularly challenging, as colors, sizes and quality are still difficult to reproduce in the web-based world.  ...  Figure 1 . 1 E-commerce as % of addressable retail 5 Source: Benedict Evans, based on data from ONS and US Census Source: Authors' own calculations The measurement model shows satisfactory fit, according  ... 
doi:10.2478/9788395815072-039 fatcat:u6d5rtalurfjtjundhjn3y22x4

Examining the Effects of Trust-Promoting IT-Features on User Participation: A Content Analysis of Online Communities

Elizabeth Hoehne, Alexander Benlian, Thomas Hess
2009 Americas Conference on Information Systems  
In this paper, we present a content-analysis-based study that investigates the effect of trust-promoting IT-features.  ...  However, their implementation in online communities leaves a great deal of room for improvement.  ...  ACKNOWLEDGMENTS We would like to thank Nielsen Online, NetView (Home-Panel, Juni 2008) for providing the user participation data that we used in this study.  ... 
dblp:conf/amcis/HoehneBH09 fatcat:37q5jeutpjf5rgo5hl2wati4ku

Website usability and user experience during shopping online from abroad

Jozef Bucko, Lukáš Kakalejčík
2018 E & M Ekonomie a Management  
Principal components analysis was used as a method to estimate the parameters of factor model.  ...  Based on this, principal components analysis was conducted.  ...  We conducted the principal components analysis, followed by fuzzy clustering in order to determine the groups of users based on the perceived website usability problems during online purchasing.  ... 
doi:10.15240/tul/001/2018-3-013 fatcat:7wqvgtrtt5bozcfqdfhovy32zy

Internet use by the older adults in the Czech Republic

Blanka Klímová, Petra Poulová, Ivana Šimonová, Pavel Pražák, Anna Cierniak-Emerych
2018 E & M Ekonomie a Management  
Principal components analysis was used as a method to estimate the parameters of factor model.  ...  Based on this, principal components analysis was conducted.  ...  We conducted the principal components analysis, followed by fuzzy clustering in order to determine the groups of users based on the perceived website usability problems during online purchasing.  ... 
doi:10.15240/tul/001/2018-3-014 fatcat:2d5dobegn5fmdaklsjvypqfxcy

The Browsemaps: Collaborative Filtering at LinkedIn

Lili Wu, Sam Shah, Sean Choi, Mitul Tiwari, Christian Posse
2014 ACM Conference on Recommender Systems  
Many web properties make extensive use of item-based collaborative filtering, which showcases relationships between pairs of items based on the wisdom of the crowd.  ...  We also present case studies on how LinkedIn uses this platform in various recommendation products, as well as lessons learned in the field over the several years this system has been in production.  ...  With the expansion of data and content on web properties, there is an ever increasing need for recommendation products.  ... 
dblp:conf/recsys/WuSCTP14 fatcat:5fhlabnj7becbiv5qeupojutfa

A Question Answering Service for Information Retrieval in Cooper

Bas Giesbers, Antonio Vincenzo Taddeo, Wim van der Vegt, Jan van Bruggen, Rob Koper
2007 European Conference on Technology Enhanced Learning  
In Cooper, part of the student support will be provided by a Question Answering application in the form of a webservice.  ...  Latent Semantic Analysis as an underlying technique is briefly discussed followed by a description of our Latent Semantic Analysis engine and the software architecture that was developed.  ...  The KB is composed of a data model and a navigational model.  ... 
dblp:conf/ectel/GiesbersTVBK07 fatcat:fqma565jmrdt3jgxwyjiwpuqnm

A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment [chapter]

Riccardo Bambini, Paolo Cremonesi, Roberto Turrin
2010 Recommender Systems Handbook  
In this chapter we describe the integration of a recommender system into the production environment of Fastweb, one of the largest European IP Television (IPTV) providers.  ...  estimated lift factor (increase in sales) of 15%.  ...  algorithm (based on latent semantic analysis).  ... 
doi:10.1007/978-0-387-85820-3_9 fatcat:xx3qt7ejvrh7nimwmrxamiufn4

Personalised online sales using web usage data mining

Xuejun Zhang, John Edwards, Jenny Harding
2007 Computers in industry (Print)  
Their approach is based on observing peoples' web site navigation behaviour and looking for recurring themes.  ...  user profile clusters Impact of cluster size on recommendation quality based on SOM model Impact of cluster size on recommendation quality based on K-means Figure 7 : 7 Distribution of cluster proportion  ... 
doi:10.1016/j.compind.2007.02.004 fatcat:z6c3763w75c5nitbotr4cplyfi

Antecedents to Websıte E-Commerce Satısfactıon and Loyalty

Effed Darta, Muhammad Yasser Iqbal Daulay, Willy Abdillah
2020 APMBA (Asia Pacific Management and Business Application)  
This study explores the major determinants of feedback on shopping satisfaction.  ...  This research is essential to provide empirical evidence about the factors that can ensure customer satisfaction and loyalty.  ...  Based on this relationship, the research hypothesis is proposed as follows: H1: E-Enjoyment has a positive impact on website satisfaction and loyalty Navigation and Ease of Use Website navigation is  ... 
doi:10.21776/ub.apmba.2020.009.02.4 fatcat:mrwbplqywzhbpaaoadyrqfb6uu

Online shopping: Factors that affect consumer purchasing behaviour

Jozef Bucko, Lukáš Kakalejčík, Martina Ferencová, Len Tiu Wright
2018 Cogent Business & Management  
We evaluated the criteria based on which users make decisions when purchasing online. We conducted principal components analysis to reduce the number of these criteria and created seven factors.  ...  To confirm factors are accurate, we executed confirmatory factor analysis that proved that model consisting of the newly created factors fits the data well.  ...  We used latent variables created in the previous step and developed the hierarchical model represented by Figure 2 : Based on this hierarchical model, we developed the following structural model: Purchase  ... 
doi:10.1080/23311975.2018.1535751 fatcat:4c7wzh6wgzfctkcgqswikdu6v4

TripleRank: Ranking Semantic Web Data by Tensor Decomposition [chapter]

Thomas Franz, Antje Schultz, Sergej Sizov, Steffen Staab
2009 Lecture Notes in Computer Science  
The Semantic Web fosters novel applications targeting a more efficient and satisfying exploitation of the data available on the web, e.g. faceted browsing of linked open data.  ...  In this paper, we present TripleRank, a novel approach for faceted authority ranking in the context of RDF knowledge bases.  ...  U and V represent the outlinks and inlinks with respect to the principal factor contained in S.  ... 
doi:10.1007/978-3-642-04930-9_14 fatcat:a2oygfhxybfbdehcc5bwex7gtu

Website Intelligence: Conceptual Development and Empirical Assessment

Khawaja Asjad Saeed, Mun Yong Yi, Insoo Hwang
2005 Americas Conference on Information Systems  
As web sites proliferate, offering more of the same, why does a customer choose one web site over the others? Among other factors, website intelligence offers a viable answer to this question.  ...  using PLS on data collected from an experiment.  ...  Website Intelligence Proceedings of the Eleventh Americas Conference on Information Systems, Omaha, NE, USA August 11 th -14 th 2005 Test of Models and Hypotheses  ... 
dblp:conf/amcis/SaeedYH05 fatcat:bw3eszh4fnbtvlhpupsjn3lnda
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