Suggesting Accurate and Faithful Locale

Authors(2) :-Darshini K. M, Dr. JhansiRani P

In recent years, the boundaries between Online Business and Online Communication have become increasingly blurred. Many Online Business websites support the mechanism of social login where users can sign on the websites using their social network identities such as their Face book or Twitter accounts. Users can also post their newly purchased products on micro blogs with links to the Online Business product web pages. In this paper we propose a novel solution for cross-site Problem In Crucial product Propose, which aims to recommend products from Online Business websites to users at Online Communication sites in “Problem In Crucial” situations, a problem which has rarely been explored before. A major challenge is how to leverage grasp extracted from Online Communication sites for cross-site Problem In Crucial product Propose. We propose to use the linked users across Online Communication sites and Online Business websites (users who have Online Communication accounts and have made purchases on Online Business websites) as a bridge to map users’ Online Communication features to another feature representation for product Propose. In specific, we propose learning both users’ and products’ feature representations (called user implants and product implants, respectively) from data collected from Online Business websites using recurrent neural networks and then apply a modified gradient boosting trees method to transform users’ Online Communication features into user implants. We then develop a feature-based matrix factorization approach which can leverage the learnt user implants for Problem In Crucial product Propose. Experimental results on a large dataset constructed from the largest Chinese micro blogging service SINA WEIBO and the largest Chinese B2C Online Business website JINGDONG have shown the effectiveness of our proposed Software Set.

Authors and Affiliations

Darshini K. M
Department of CSE CMRIT College, VTU University Bengaluru, Karnataka, India
Dr. JhansiRani P
Professor, Department of CSE CMRIT Bengaluru, Karnataka, India

E-Commerce, Microblogs, Recommendation Systems, Product Demographic, Social Networking.

  1. A. Majid, L. Chen, G. Chen, H. Turab, I. Hussain, and J. Woodward, "A Context-aware Personalized Travel Propose System based on Geo-tagged Social Media Data Mining", International Journal of Geographical Information Science, pp. 662-684, 2013.
  2. M. Ye, P. Yin, and W. Lee, "Location Propose for location-based social networks", In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, pp. 458-461, 2010.
  3. Y. Zheng, L. Zhang, X. Xie, and W. Y. Ma, "Mining interesting locations and travel sequences from gps trajectories", In Proceedings of the 18th international conference on World wide web, ACM, pp. 791-800, 2009.
  4. C. Chow, J. Bao, and M. Mokbel, "Towards Location-Based Online Communication Services", In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks, ACM, pp. 31-38, 2010.
  5. P. G. Campos, F. Díez, I. Cantador, "Time-aware Recommender Systems: A Comprehensive Survey and Analysis of Existing Evaluation Protocols", User Modeling and User-Adapted Interaction, vol. 24, no.1-2, pp. 67-119, 2014.
  6. A. Noulas, S. Scellato, N. Lathia, and C. Mascolo, "A Random Walk around the City: New Site Of Concept Propose in Location-Based Social Networks", In Proceedings of International Conference on Social Computing (SocialCom), pp.144-153, 2012.
  7. Y. Doytsher, B. Galon, and Y. Kanza, "Storing Routes in Socio-spatial Networks and Supporting Social-based Route Propose", In Proceedings of 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, ACM, pp. 49-56, 2011.
  8. S. Seema, and S. Alex, "Dynamic Bus Arrival Time Prediction, using GPS Data", In Proceedings of the Nat. Conference Technological Trends (NCTT), pp. 193-197, 2010.
  9. B. Chandra, S. Bhaskar, "Patterned Growth Algorithm using Hub-Averaging without Pre-assigned Weights", In Proceeding of IEEE International Conference on Systems, man, and Cybernetics (SMC), pp.3518-3523, 2010.
  10. B. Hidasi, and D. Tikk, "Initializing Matrix Factorization Methods on Implicit Feedback Database", Journal of Universal Computer Science, vol. 19, no. 12, pp. 1835-1853, 2013.

Publication Details

Published in : Volume 4 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 331-338
Manuscript Number : IJSRSET173611
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Darshini K. M, Dr. JhansiRani P, " Suggesting Accurate and Faithful Locale, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.331-338, January-February-2018.
Journal URL :

Article Preview