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Mining user navigation patterns for personalizing topic directories

Theodore Dalamagas, Panagiotis Bouros, Theodore Galanis, Magdalini Eirinaki, Timos Sellis
2007 Proceedings of the 9th annual ACM international workshop on Web information and data management - WIDM '07  
Our work provides a set of mining tasks for user navigation patterns and a set of personalization tasks that customize the organization of the topic directory according to these patterns for certain user  ...  The key feature of our methodology is that the personalization is based on the mining of navigation patterns extracted from previous user visits.  ...  MINING TASKS To personalize a topic directory, we propose a set of data mining tasks over users' navigation patterns.  ... 
doi:10.1145/1316902.1316916 dblp:conf/widm/DalamagasBGES07 fatcat:zxs5tlywrfhsndhun2nzmjrlz4

Web Community Directories: A New Approach to Web Personalization [chapter]

Dimitrios Pierrakos, Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Marios Dikaiakos
2004 Lecture Notes in Computer Science  
For the construction of the community models, a new data mining algorithm, called Community Directory Miner, is used.  ...  A major obstacle towards realizing Web personalization is the acquisition of accurate and operational models for the users.  ...  Acknowledgements This research has been partially funded by the Greece-Cyprus Research Cooperation project "Web-C-Mine: Data Mining from Web Cache and Proxy Log Files".  ... 
doi:10.1007/978-3-540-30123-3_7 fatcat:aykf6e2hpbfzvo7yvlf3k2iqam


Robinson Joel M, Srinath M V, Adhiselvam A
2014 ICTACT Journal on Soft Computing  
In this paper, an effective approach is presented for Web personalization based on an Advanced Apriori algorithm. It is used to select the user interested web directories.  ...  Web Usage Mining consists of three major stages: preprocessing, clustering and pattern analysis. This paper explains each of these stages in detail.  ...  Guerbas et al. proposed an enhanced web log mining process and online navigational pattern prediction.  ... 
doi:10.21917/ijsc.2014.0108 fatcat:ht74hjhyq5cj3b2gewok3u7rjq

Mining Web Usage within a Local Area Network

Hsin-Chih Lin, Mei-San Choi
2010 International Journal of Engineering and Technology  
Kimo) to create a topic hierarchy and classifies the most visited websites for users within a LAN into the hierarchy. Each of the websites will have a unique category path.  ...  Index Terms-Web usage mining, Yahoo! Directory, Yahoo! Search.  ...  Kimo Directory and organized into topic-based categories. When a user poses a keyword (or a phrase) for making queries, Yahoo!  ... 
doi:10.7763/ijet.2010.v2.161 fatcat:fri5mc6ebvgcjpjyzb6uniss54

Exploiting Probabilistic Latent Information for the Construction of Community Web Directories [chapter]

Dimitrios Pierrakos, Georgios Paliouras
2005 Lecture Notes in Computer Science  
This paper improves a recently-presented approach to Web Personalization, named Community Web Directories, which applies personalization techniques to Web Directories.  ...  The Web directory is viewed as a concept hierarchy and personalization is realized by constructing user community models on the basis of usage data collected by the proxy servers of an Internet Service  ...  Finally, more sophisticated metrics could also be employed for examining the usability of the resulting community directories.  ... 
doi:10.1007/11527886_13 fatcat:dsnohsop5zdbtl7hwg6j7l2iae

An Ontology Based Approach to Implement the Online Recommendation System

2011 Journal of Computer Science  
relevant navigation pattern to users.  ...  algorithm based on website domain ontological profile helps the recommendation system imminent navigation pattern in such a way that it provides required content while users browse the predicted navigation  ...  imminent navigation pattern of online users.  ... 
doi:10.3844/jcssp.2011.573.581 fatcat:y2axhk5xwjhl3d2yiv64yjw6ge

Personalizing Web Directories with the Aid of Web Usage Data

Dimitrios Pierrakos, George Paliouras
2010 IEEE Transactions on Knowledge and Data Engineering  
In contrast to most of the work on Web usage mining, the usage data that are analyzed here correspond to user navigation throughout the Web, rather than a particular Web site, exhibiting as a result a  ...  This paper presents a knowledge discovery framework for the construction of Community Web Directories, a concept that we introduced in our recent work, applying personalization to Web directories.  ...  ACKNOWLEDGMENTS This research has been partially funded by the Greece-Cyprus Research Cooperation project "Web-C-Mine: Data Mining from Web Cache and Proxy Log Files."  ... 
doi:10.1109/tkde.2009.173 fatcat:nykzjekjm5h3fe2n27zqk3e3lq

Report on the 9th international workshop on web information and data management (WIDM 2007)

Irini Fundulaki, Neoklis Polyzotis
2008 SIGMOD record  
In their paper: Mining User Navigation Patterns for Personalizing Topic Directories, T. Dalamagas, P. Bouros, T. Galanis, M Eirinaki and T.  ...  Sellis examine the use of personalized recommendations to assist users in the browsing of topic directories.  ... 
doi:10.1145/1462571.1462585 fatcat:ub3udm2ehfbufcrnixbitrfklm

Report on the 9th International Workshop on Web Information and Data Management (WIDM 2007)

Irini Fundulaki, Neoklis Polyzotis
2008 SIGIR Forum  
In their paper: Mining User Navigation Patterns for Personalizing Topic Directories, T. Dalamagas, P. Bouros, T. Galanis, M Eirinaki and T.  ...  Sellis examine the use of personalized recommendations to assist users in the browsing of topic directories.  ... 
doi:10.1145/1394251.1394258 fatcat:mwfat675dfg35f55trepl5v5em

Data mining for Web intelligence

Jiawei Han, K.C.-C. Chang
2002 Computer  
Web access pattern mining often requires taking further measures to obtain additional user traversal information.  ...  For example, many personal homepages may have linked simply as a bookmark, even though these pages have no relevance to the topic of weather.  ... 
doi:10.1109/mc.2002.1046977 fatcat:53klpcrkyvdtvgmswl3msaljmm


Barbara Poblete, Ricardo Baeza-Yates
2008 Proceeding of the 17th international conference on World Wide Web - WWW '08  
Furthermore, we create a novel model based on frequent query patterns called the query-set model.  ...  This type of model allows us to discover the motivations of users when visiting a certain document.  ...  Research Barcelona: Carlos Castillo, Aristides Gionis and Hugo Zaragoza for our valuable discussions and feedback.  ... 
doi:10.1145/1367497.1367504 dblp:conf/www/PobleteB08 fatcat:fqxmayvxkram7h6ghtffgwm3mu

Enterprise Search: Tough Stuff

Rajat Mukherjee, Jianchang Mao
2004 Queue  
User profiles can enhance the input context to provide personalization and targeted search. Persistent profiles can exploit a user's role in addition to historical patterns of access.  ...  It is, however, reasonable to expect systems to generate a strawman taxonomy for refinement by domain experts, making the domain experts dramatically more productive by automatically mining the patterns  ... 
doi:10.1145/988392.988406 fatcat:nn6ifjqepvep3ngpy4ig2cqyai

Expertise identification and visualization from CVS

Omar Alonso, Premkumar T. Devanbu, Michael Gertz
2008 Proceedings of the 2008 international workshop on Mining software repositories - MSR '08  
How can one identify the experts in a project by mining a particular repository like the source code? Have they gotten help from other people?  ...  The user can click on a name (say aaron) and the cloud now presents all categories the user has made contributions to. These are the expertise areas for a particular person ( Figure 2) .  ...  A tag cloud is a visualization of user generated tags that describe the content of a website. In this context a tag is a relevant keyword or topic label that the user has entered.  ... 
doi:10.1145/1370750.1370780 dblp:conf/msr/AlonsoDG08 fatcat:3q5onekc55gppilltnmu2kvsgu

Recommendation system for web article based on association rules and topic modelling

Guntur Budi Herwanto, Annisa Maulida Ningtyas
2017 Bulletin of Social Informatics Theory and Application  
The dataset for association rule mining is a session of topics that made by combining the result of sessionization and topic modeling.  ...  A user visits websites that provide information and browse on the particular information in accordance with their topic interest.  ...  The authors would like to thank PT Citraweb Indonesia owner of gudegnet for providing the data and their support.  ... 
doi:10.31763/businta.v1i1.36 fatcat:mw27f5rlczhk3dldi2eomivgim

Dynamic personalization of web sites without user intervention

Ranieri Baraglia, Fabrizio Silvestri
2007 Communications of the ACM  
A novel online recommender system builds profiling models and offers suggestions without the user taking the lead.  ...  The goal of the Pattern Discovery phase is to evaluate useful data patterns in the knowledge base created in the previous phase (for example, access user patterns) by exploiting various data mining techniques  ...  For instance the sequence: Home Science Computer Science Algorithms could be a typical session of a person browsing a directory (for example, Yahoo!) with an interest in computer algorithms.  ... 
doi:10.1145/1216016.1216022 fatcat:zl5wckgyhjfwdggyz4vnwobzza
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