Relevant Feedback Based Accurate and Intelligent Retrieval on Capturing User Intention for Personalized Websites

Abstract—With the rapid growth of networking, cyberphysical- social systems (CPSSs) provide vast amounts of information. Aimed at the huge and complex data provided by networking, obtaining valuable information to meet precise search needs when capturing user intention has become a major challenge, especially in personalized websites. General search engines face difficulties in addressing the challenges brought by this exploding amount of information. In this paper, we use real-time location and relevant feedback technology to design and implement an efficient, configurable, and intelligent retrieval framework for personalized websites in CPSSs. To improve the retrieval results, this paper also proposes a strategy of implicit relevant feedback based on click-through data analysis, which can obtain the relationship between the user query conditions and retrieval results. Finally, this paper designs a personalized PageRank algorithm including modified parameters to improve the ranking quality of the retrieval results using the relevant feedback from other users in the interest group. Experiments illustrate that the proposed accurate and intelligent retrieval framework improves the user experience.

Conclusion

In this paper, we propose a new approach for an intelligent retrieval framework with real-time location in CPSSs to resolve ambiguities for general search engines. We first present an intelligent retrieval model for a single field with real-time location. Second, to improve the retrieval results, the paper proposes a strategy for implicit correlation feedback based on click-through data analysis, which obtains the relationship between the user query conditions and retrieval results. Finally, the paper designs a personalized PageRank algorithm including modified parameters Any Query Call Us: 9566355386

 

to improve the ranking quality of the retrieval results using the relevant feedback from other users in the interest group

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

• System : Pentium IV 2.4 GHz.

• Hard Disk : 40 GB.

• Floppy Drive : 1.44 Mb.

• Monitor : 15 VGA Colour.

• Mouse : Logitech.

• Ram : 512 Mb.

 

SOFTWARE REQUIREMENTS:

• Operating system : - Windows XP/7.

• Coding Language : JAVA/J2EE

• Data Base : MYSQL

 

REFERENCES

[1] Wang, X., Yang, L. T., Xie, X., Jin, J., & Deen, M. J. (2017). A cloudedge

computing framework for cyber-physical-social services. IEEE Communications Magazine, 55(11), 80-85.

[2] Wang, X., Yang, L. T., Feng, J., Chen, X., & Deen, M. J. (2016). A tensor-based big service framework for enhanced living environments. IEEE Cloud Computing, 3(6), 36-43. Any Query Call Us: 9566355386

 

[3] Zeng, J., Yang, L. T., Lin, M., Ning, H., & Ma, J. (2016). A survey:cyber-physical-social systems and their system-level design methodology. Future Generation Computer Systems.