#6375. Intelligent and adaptive web page recommender system

September 2026publication date
Proposal available till 22-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Sociology and Political Science;
Organizational Behavior and Human Resource Management;
Information Systems;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract №6375.1 Contract №6375.2 Contract №6375.3 Contract №6375.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
In this manuscript, an intelligent and adaptive web page recommender system is proposed that provides personalized, global, and group mode of recommendations. The authors enhance the utility of a trie node for storing relevant web access statistics. The trie node enables dynamic clustering of users based on their evolving browsing patterns and allows a user to belong to multiple groups at each navigation step. The system takes cues from the field of crowd psychology to augment two parameters for modeling group behavior: uniformity and recommendation strength. The system continuously tracks the users responses in order to adaptively switch between different recommendation-criteria in the group and personalized modes.
Keywords:
Global; Group; Personalized; Recommender; Trie; Web page

Contacts :
0