Abstract

The overload of information can become a significant challenge in relation to information retrieval systems. Often users will need to carry out extensive research to get the information they desire. This issue will only become more challenging as the quantity of data available on the internet increases. This increase shows no signs of slowing down and inevitably demands better solutions. One such solution proposed in this paper will look at the quality of the service discovery, such as adaptation customizing recommendation. In our project we considered ways to customize the contextual recommendation by creating a time awareness system.

Keywords:
Information overload Computer science Adaptation (eye) Recommender system Relation (database) World Wide Web Service (business) The Internet Quality (philosophy) Carry (investment) Database Business

Metrics

2
Cited By
0.33
FWCI (Field Weighted Citation Impact)
8
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing

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