Efficient Recommendation System based on Keyword for Smart-City with Sentiment Analysis using Hadoop

@article{Potdar2017EfficientRS,
  title={Efficient Recommendation System based on Keyword for Smart-City with Sentiment Analysis using Hadoop},
  author={Sneha Potdar and N. S. More},
  journal={international journal of engineering trends and technology},
  year={2017},
  volume={48},
  pages={17-23}
}
  • Sneha Potdar, N. S. More
  • Published 2017
  • Computer Science
  • international journal of engineering trends and technology
  • In today’s life recommender system plays the important role while user is on social networking site, online shopping website. For presenting the personalized recommendation according to the new user’s demand is big challenge. The previous recommender system produces the recommendation without checking the personalized interest of user, due to that they couldn’t meet their proper requirement. In this paper, the recommender system works very efficiently using Hadoop by computing the reviews based… CONTINUE READING

    Figures, Tables, and Topics from this paper

    Explore Further: Topics Discussed in This Paper

    References

    SHOWING 1-10 OF 18 REFERENCES
    Recommendation system using sentiment analysis considering the polarity of the adverb
    • 16
    Item-based collaborative filtering recommendation algorithms
    • 7,296
    • PDF
    Bayesian-Inference-Based Recommendation in Online Social Networks
    • 137
    Travel Recommendation by Mining People Attributes and Travel Group Types From Community-Contributed Photos
    • 123
    • PDF
    An Efficient Hybrid Music Recommender System Using an Incrementally Trainable Probabilistic Generative Model
    • 137
    • PDF
    A Survey of Collaborative Filtering Techniques
    • 2,872
    • PDF
    Recommender System for Sport Videos Based on User Audiovisual Consumption
    • 38
    • PDF
    KORS: Keyword-aware Optimal Route Search System
    • 23
    • PDF
    On Service Recommendations Techniques
    • IJARIIE,
    • 2016