scholarly journals Dynamic Recommendation System Using Web Usage Mining for E-commerce Users

2015 ◽  
Vol 45 ◽  
pp. 60-69 ◽  
Author(s):  
Prajyoti Lopes ◽  
Bidisha Roy
Keyword(s):  
Recommendation System ◽  
Web Usage Mining ◽  
Web Usage

scholarly journals Ontology Based Web Page Recommendation System

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1373-1376
Keyword(s):  
Recommendation System ◽  
Semantic Information ◽  
Initial Step ◽  
Domain Ontology ◽  
Web Usage Mining ◽  
The Other ◽  
Web Page ◽  
Web Usage ◽  
Content Based Filtering ◽  
Filtering Approach

The emerging web page development requires semantic applications with customized administrations. The proposed methodology presents a customized suggestion framework, which makes utilization of item representations and also client profiles created based on ontology. The domain ontology helps the recommender to improve the personalization: from one perspective, client’s interests are displayed in an increasingly powerful and precise route by applying an area based derivative technique; on the other side, the stemmer algorithm derived content- based filtering approach, gives an evaluation of resemblance among a thing and a client, upgraded by applying a semantic likeliness strategy. Recommender frameworks and web personalize were assumed by Web usage mining as a critical job. The proposed strategy is s successful framework dependent on ontology and web usage mining. Extricating highlights from web reports and building applicable ideas is the initial step of the methodology. At that point manufacture metaphysics for the site exploit the ideas and huge terms separated from reports. As per the semantic similitude of web archives to bunch them into various semantic topics, the distinctive subjects suggest diverse inclinations. The proposed methodology incorporates semantic information into Web Usage Mining and personalization process

An Intelligent Web Recommendation System: A Web Usage Mining Approach

2002 ◽  
pp. 342-350 ◽  
Author(s):  
Hiroshi Ishikawa ◽  
Toshiyuki Nakajima ◽  
Tokuyo Mizuhara ◽  
Shohei Yokoyama ◽  
Junya Nakayama ◽  
...  
Keyword(s):  
Recommendation System ◽  
Web Usage Mining ◽  
Web Usage ◽  
System A

Recommendation System Model Based on Web Usage Mining and Market Mechanism

2014 ◽  
Vol 608-609 ◽  
pp. 412-419
Author(s):  
Zhao Lin Fang ◽  
Chen Liang Liu
Keyword(s):  
Recommendation System ◽  
Web Usage Mining ◽  
Market Mechanism ◽  
System Structure ◽  
System Model ◽  
Bidding Strategy ◽  
Allocation Mechanism ◽  
Operation Mechanism ◽  
Web Usage ◽  
Resource Allocation Mechanism

Firstly, the paper proposes the framework of recommendation system based on web usage mining and market mechanism. Then, the paper introduces the system structure. And the paper introduces each Agent of the system including the functions of management Agent, interface Agent, online-recommendation Agent and filter Agent. And the paper gives the operation mechanism, resource allocation mechanism, customization return mechanism and customization bidding strategy,

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