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Personalized Web Recommendation Based on Path Clustering [chapter]

Yijun Yu, Huaizhong Lin, Yimin Yu, Chun Chen
2006 Lecture Notes in Computer Science  
It is path clustering based on competitive agglomeration (PCCA). The path similarity and the center of a cluster are defined for the proposed algorithm.  ...  The effectiveness and efficiency are two problems in clustering algorithms. This paper provides a clustering algorithm for personalized Web recommendation.  ...  Path clustering based on competitive agglomeration Path clustering based on competitive agglomeration (PCCA) is a partition algorithm, not a hierarchical clustering algorithm.  ... 
doi:10.1007/11766254_31 fatcat:ri7sv4aiavccrdr6rjijwzxchi

A Survey On Detect - Discovering And Evaluating Trust Using Efficient Clustering Technique For Manets

K Sudharson
2012 International Journal of Computer Science & Engineering Survey  
In this work, models for dynamic recommendation based on fuzzy clustering techniques, applicable to nodes that are currently participate in the transmission of Adhoc Network.  ...  The approach focuses on both aspects of MANET mining and behavioral mining. Applying fuzzy clustering and mining techniques, the model infers the node's preferences from transmission logs.  ...  Then, nodes are clustered based on their behavior in access to path clusters.  ... 
doi:10.5121/ijcses.2012.3107 fatcat:ndnv7z7vsngnzlwlizgxuw5zia

RECOMMENDATION GENERATION BY INTEGRATING SEQUENTIAL PATTERN MINING AND SEMANTICS

Geethapriya Uvaraja .
2014 International Journal of Research in Engineering and Technology  
Most of the recommendation systems are based on association rule mining or based on keywords.  ...  A recommendation system can be used to provide personalized web service by suggesting the pages that are likely to be accessed in future.  ...  INTRODUCTION A recommender system understands the users' navigation pattern by exploiting web usage mining and provides personalization service based on the results of mining.  ... 
doi:10.15623/ijret.2014.0301032 fatcat:smdtvqdqqvgxdg5if34vntqzcu

Web personalization integrating content semantics and navigational patterns

Magdalini Eirinaki, Charalampos Lampos, Stratos Paulakis, Michalis Vazirgiannis
2004 Proceedings of the 6th annual ACM international workshop on Web information and data management - WIDM '04  
To address this problem, web sites provide recommendations to the end users, based on similar users' navigational patterns mined from past visits.  ...  Both methods are integrated in the semantic web personalization system SEWeP.  ...  We would also like to thank Alkis Polyzotis for his very useful comments on earlier drafts of this paper.  ... 
doi:10.1145/1031453.1031468 dblp:conf/widm/EirinakiLPV04 fatcat:c6xxpa7ce5gdhjh2uqdeswl2jm

Web mining for web personalization

Magdalini Eirinaki, Michalis Vazirgiannis
2003 ACM Transactions on Internet Technology  
Vazirgiannis Web Mining for Web Personalization 95 PKDD 2005 Topic-sensitive PageRank Web search context Predefined personalization vectors v Bias the jump based on user query v prefers the topics user  ...  M.Eirinaki, M. vector based on usage data w i : #visits to page p i w j i : #visits from p j to p i Statistical Log Analysis -Example Most Frequent paths traversed by users/Average length of path followed  ... 
doi:10.1145/643477.643478 fatcat:xeex2a6y5bfn5ltkwlcugauqxa

An Efficient Web Recommendation System using Collaborative Filtering and Pattern Discovery Algorithms

R. Suguna, D. Sharmila
2013 International Journal of Computer Applications  
Web recommendation is one of the techniques of web personalization, which recommends web pages to the user based on the previous browsing history.  ...  In this paper web usage mining is considered as the major source for web recommendation in association with Collaborative filtering approach, association rule mining and Markov model to recommend the web  ...  [27] proposed a technique that incorporates web recommendation and personalization of websites based on the user interest.  ... 
doi:10.5120/11945-7755 fatcat:5xxpvykkbbed5kbztyuov4tyjm

Automatic personalization based on Web usage mining

Bamshad Mobasher, Robert Cooley, Jaideep Srivastava
2000 Communications of the ACM  
Of course, this type of Web usage mining can help improve the scalability, accuracy, and flexibility of recommender systems.  ...  It is now possible for vendors to personalize their product messages for individual customers on a massive scale, a phenomenon referred to as "mass customization."  ...  Path completion involves inferring cached pageviews based on the referring information from the logs.  ... 
doi:10.1145/345124.345169 fatcat:po4rm6z2qrfh5npv524v6yusym

SEWeP

M. Eirinaki, M. Vazirgiannis, I. Varlamis
2003 Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03  
C-logs are used as input to the Web usage mining process, resulting in a broader yet semantically focused set of recommendations.  ...  Web personalization is the process of customizing a Web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of the user's navigational  ...  The Web documents are clustered based on the taxonomy categories; therefore the recommended categories are further expanded to contain the documents that fall under them.  ... 
doi:10.1145/956750.956765 dblp:conf/kdd/EirinakiVV03 fatcat:c75nmzr4gvbmzi22uyjgsecwv4

SEWeP

M. Eirinaki, M. Vazirgiannis, I. Varlamis
2003 Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03  
C-logs are used as input to the Web usage mining process, resulting in a broader yet semantically focused set of recommendations.  ...  Web personalization is the process of customizing a Web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of the user's navigational  ...  The Web documents are clustered based on the taxonomy categories; therefore the recommended categories are further expanded to contain the documents that fall under them.  ... 
doi:10.1145/956755.956765 fatcat:tdigotwounhhfbnxung54a5aki

Introducing Semantics in Web Personalization: The Role of Ontologies [chapter]

Magdalini Eirinaki, Dimitrios Mavroeidis, George Tsatsaronis, Michalis Vazirgiannis
2006 Lecture Notes in Computer Science  
The web personalization systems are mainly based on the exploitation of the navigational patterns of the web site's visitors.  ...  When a personalization system relies solely on usage-based results, however, valuable information conceptually related to what is finally recommended may be missed.  ...  on this tree based on the observed user paths.  ... 
doi:10.1007/11908678_10 fatcat:jtpv6xshnzcgroad32575yfdlu

A Novel Approach towards Integration of Semantic Web Mining with Link Analysis to Improve the Effectiveness of the Personalized Web

Chanchala Joshi, Umesh Kumar
2015 International Journal of Computer Applications  
In the second part of proposed method, this paper presents a novel approach for enhancing the quality of recommendations based on the underlying structure of a web site.  ...  This paper presents a personalization framework CUMPW (Content & Web Usage Mining for Personalized Web) that integrates web content and web usage data with the user's navigational patterns and represents  ...  The web site's documents are mapped to ontology terms, enabling further processing (clustering, association rules mining, recommendations' generation) to be performed based on the semantic similarity between  ... 
doi:10.5120/ijca2015906660 fatcat:kcaokcegrrhfnf47yuy3er2qbi

Towards Semantics-Aware Recommender System: A LOD-Based Approach

Asmaa Fridi, Sidi Mohamed Benslimane
2017 International Journal of Modern Education and Computer Science  
The advent of the Linked Open Data (LOD) initiative has spawned a wide range of open knowledge bases freely accessible on the Web.  ...  Recommender systems have contributed to the success of personalized websites as they can automatically and efficiently select items or services adapted to the user's interest from huge datasets.  ...  The provided recommendations are based not only on the similarity between users and between Web services, but also on the trust value of user and Web service. III.  ... 
doi:10.5815/ijmecs.2017.02.07 fatcat:fhvl2h5knrhsbibmzhkp6ruf3q

Automatic Recommendation for Online Users Using Web Usage Mining

Dipa Dixit, Jayant Gadge
2014 Zenodo  
Web master should use web usage mining method to capture intuition. A WUM is designed to operate on web server logs which contain user's navigation.  ...  Hence, recommendation system using WUM can be used to forecast the navigation pattern of user and recommend those to user in a form of recommendation list.  ...  The incomplete access path of every user session is recognized based on user session identification.  ... 
doi:10.5281/zenodo.3593611 fatcat:plmzxwibxjevlkabv2aicu77a4

Automatic Recommendation for Online Users Using Web Usage Mining

Dipa Dixit, Jayant Gadge
2010 International Journal of Managing Information Technology  
Web master should use web usage mining method to capture intuition. A WUM is designed to operate on web server logs which contain user's navigation.  ...  Hence, recommendation system using WUM can be used to forecast the navigation pattern of user and recommend those to user in a form of recommendation list.  ...  The incomplete access path of every user session is recognized based on user session identification.  ... 
doi:10.5121/ijmit.2010.2303 fatcat:wp2sxmofz5d35b4uaml3dnopiy

Automatic Recommendation for Online Users Using Web Usage Mining [article]

Dipa Dixit, Jayant Gadge
2010 arXiv   pre-print
Web master should use web usage mining method to capture intuition. A WUM is designed to operate on web server logs which contain user's navigation.  ...  Hence, recommendation system using WUM can be used to forecast the navigation pattern of user and recommend those to user in a form of recommendation list.  ...  The incomplete access path of every user session is recognized based on user session identification.  ... 
arXiv:1009.0433v1 fatcat:za74kak6fvezrh7lg5x2qzbjzi
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