Abstract

The large volume of information available on the web, the broad coverage of the web content, the phenomenal number of web users and their continued rapid growth has presented a major challenge to the web community. Identifying and accessing relevant information suited to individual needs is called personalized information retrieval and access. Based on user's requirements and preferences, the personalized recommendation systems are in need to provide proper recommendations . This paper proposes a product recommender system for intuitively supporting mobile users in decision making with respect to the location of both the user and product. Other recommendation techniques included in the project are: Personal interest based recommendation and Friend Circle based recommendation.

Keywords:
Computer science Product (mathematics) Recommender system World Wide Web

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
14
Refs
0.57
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Technology and Data Analysis
Physical Sciences →  Computer Science →  Information Systems
Industrial Technology and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Innovation in Digital Healthcare Systems
Health Sciences →  Health Professions →  Health Information Management

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