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Deriving semantic sessions from semantic clusters
Abstract A important phase in any web personalizatiA important phase in any web personalization system is transaction identification. Recently a number of researches have been done to incorporate semantics of a web site in representation of transactions. Building a hierarchy of concepts manually is time consuming and expensive. In this paper we intend to address these shortcomings. Our contribution is that we introduce a mechanism to automatically improve the representation of the user in the website using a comprehensive lexical semantic resource and semantic clusters. We utilize Wikipedia, the largest encyclopedia to date, as a rich lexical resource to enhance the automatic construction of vector model representation of user sessions. We cluster web pages based on their content with Hierarchical Unsupervised Fuzzy Clustering algorithms ,are effective methods, for exploring the structure of complex real data where grouping of overlapping and vague elements is necessary. Entries in web server logs are used to identify users and visit sessions, while web page or resources in the site are clustered based on their content and their semantic. Theses clusters of web documents are used to scrutinize the discovered web sessions in order to identify what we call sub-sessions. Each subsession have consistent goal. This process engendered to improving deriving semantic sessions from web site user page views. Our experiments show that proposed system significantly improves the quality of web personalization process.he quality of web personalization process.
Abstractsub A important phase in any web personalizatiA important phase in any web personalization system is transaction identification. Recently a number of researches have been done to incorporate semantics of a web site in representation of transactions. Building a hierarchy of concepts manually is time consuming and expensive. In this paper we intend to address these shortcomings. Our contribution is that we introduce a mechanism to automatically improve the representation of the user in the website using a comprehensive lexical semantic resource and semantic clusters. We utilize Wikipedia, the largest encyclopedia to date, as a rich lexical resource to enhance the automatic construction of vector model representation of user sessions. We cluster web pages based on their content with Hierarchical Unsupervised Fuzzy Clustering algorithms ,are effective methods, for exploring the structure of complex real data where grouping of overlapping and vague elements is necessary. Entries in web server logs are used to identify users and visit sessions, while web page or resources in the site are clustered based on their content and their semantic. Theses clusters of web documents are used to scrutinize the discovered web sessions in order to identify what we call sub-sessions. Each subsession have consistent goal. This process engendered to improving deriving semantic sessions from web site user page views. Our experiments show that proposed system significantly improves the quality of web personalization process.he quality of web personalization process.
Bibtextype inproceedings  +
Doi 10.1109/ICIME.2009.131  +
Has author Safarkhani B. + , Talabeigi M. + , Mohsenzadeh M. + , Meybodi M.R. +
Has extra keyword Automatic construction + , Lexical resources + , Lexical semantics + , Transaction identification + , User sessions + , Vector models + , Web document + , Web page + , Web personalization + , Web server logs + , Web sessions + , Wikipedia + , Clustering algorithms + , Fuzzy clustering + , Information management + , Internet + , Websites + , Semantics +
Has keyword Semantic cluster + , Semantic sub-session + , Semantic vectors + , Wikipedia +
Isbn 9780769535951  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 523–528  +
Published in Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009 +
Title Deriving semantic sessions from semantic clusters +
Type conference paper  +
Year 2009 +
Creation dateThis property is a special property in this wiki. 7 November 2014 09:57:37  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 09:57:37  +
DateThis property is a special property in this wiki. 2009  +
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