Graph Based Web Recommendation System to Improve Time Efficiency

Ankur Shah (u. a.)

ISBN 10: 3659666092 / ISBN 13: 9783659666094

Published by LAP LAMBERT Academic Publishing, 2015

Graph Based Web Recommendation System to Improve Time Efficiency | Ankur Shah (u. a.) | Taschenbuch | 60 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659666094 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 104928462

Synopsis:

In modern era people get more and more dependent on internet for every type of information. To extract user's interested access pattern of web click stream data, Web Usage Mining is an application of this type of techniques. Record of different web user's web using pattern are get stored in web log repository, which are great source of knowledge about user's navigation. With increasing the use of internet, number of web sites and web pages are increasing rapidly so web usage mining become problematic for many application such as design, personalization, analysis of traffic, usability-studies, etc. But analyze and discovering user's interesting patterns are necessary for web administrator and recommendation system. In this, mining techniques are applied to web data for finding user's interesting patterns. That means in which patterns user want to access web pages and web-sites. This work is focus on graph based web usage mining. Normally this technique consume more time if data is available in huge amount. Hence an approach has been made to reduce the time complexity in efficient manner. We make the use of new graph based approach for mine user behaviour.

Bibliographic Details

Title: Graph Based Web Recommendation System to ...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2015
Binding: Taschenbuch
Condition: Neu