Recommendation of optimized web pages to users using Web Log mining techniques

Bhushan, Ravi; Nath, Rajender

doi:10.1109/iadcc.2013.6514368

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…Commonly, some of these approaches are based on the Markov model, which is considered the widest one used to model user's web navigation. Bhushan and Nath (2013), introduced a new model based on learning from weblogs. It provides users with a list of recommended web pages more relevant to their intentions, considering the user's historical behavior.…”

Section: Data-mining Techniquesmentioning

confidence: 99%

Online web navigation assistant

Ali

Gadallah

Hefny

et al. 2021

Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki

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The problem of finding relevant data while searching the internet represents a big challenge for web users due to the enormous amounts of available information on the web. These difficulties are related to the well-known problem of information overload. In this work, we propose an online web assistant called OWNA. We developed a fully integrated framework for making recommendations in real-time based on web usage mining techniques. Our work starts with preparing raw data, then extracting useful information that helps build a knowledge base as well as assigns a specific weight for certain factors. The experiments show the advantages of the proposed model against alternative approaches.

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Section: Data-mining Techniquesmentioning

confidence: 99%

Online web navigation assistant

Ali

Gadallah

Hefny

et al. 2021

Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki

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“…ratings and clickstream history),context data, and ontology based content categorization scheme. A web recommendation approach which is based on learning from web logs and recommends user a list of pages which are relevant to him by comparing with user"s historic pattern could be obtained from [13]. A combined approach of content-based model and memory-based collaborative filtering is used in order to remove drawbacks of existing system and used feed forward back propagation neural network for training data [14].…”

Section: Related Workmentioning

confidence: 99%

Web Usage Data Based Web Page Recommender System

2017

IJAERD

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“…Concept based approach is used for recommendation [1], in that works on user history log data according to that recommendation provided. [3] Rank algorithm is used for ranking the pages at the recommendation stage. Solves the "new page problem" [4] but require to develop more accurate key extraction algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Web page Annotation Using Web Usage Mining and Domain Knowledge Ontology

2016

IJMTER

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Today's world the growth of the WWW has increased tremendously, the user is totally relying on web for information. Search engine provides the result pages to the user but all are not relevant so the challenging task is extracting the pages from web and provide to the user.WUM is an approach to extract knowledge and use it to the different purposes. In this paper new semantic approach is proposed based on WUM and Domain Knowledge Ontology.

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Recommendation of optimized web pages to users using Web Log mining techniques

Cited by 9 publications

References 8 publications

Online web navigation assistant

Online web navigation assistant

Web Usage Data Based Web Page Recommender System

Web page Annotation Using Web Usage Mining and Domain Knowledge Ontology

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