Home| Join Now | Sign In | Trainers Login              
SPIRO, Spiro, project for student, student projects

A UNIT OF SPIRO GROUP OF COMPANIES

A RESEARCH & DEVELOPMENT ORGANIZATION
To Search
Last Live Projects with video description
VLSI Projects, Student Projects, Best Projects, College Projects Matlab Projects, vlsi projects Final Year Projects in Chennai , Final Year Training Projects in Chennai
Slideshow Image 1
Friend book: A Semantic Based Friend Recommendation System for Social Networks
Post Your concept Get Project
Guidance
It is purposely dedicated for innovative students. Here we encourage students who have new concepts and projects in various domains.

For Project Title


Project Zone > Software > Mobile Computing

Social share: Facebook SPIRO Google Plus

Friend book: A Semantic - Based Friend Recommendation System for Social Networks

Category : Mobile Computing


Sub Category : DOTNET


Project Code : ITDMC01


Project Abstract

FRIEND BOOK: A SEMANTIC-BASED FRIEND RECOMMENDATION SYSTEM FOR SOCIAL NETWORKS

 

ABSTRACT

            We have implemented Friend book on the Android-based smart phones, and evaluated its performance on both small-scale experiments and large-scale simulation. The results show that the recommendations accurately reflect the preferences of users in choosing friends. In this paper, we present Friend book, a novel semantic-based friend recommendation system for social networks, which recommends friends to users based on their life styles instead of social graphs. By taking advantage of sensor-rich smart phones, Friend book discovers life styles of users from user-centric sensor data, measures the similarity of life styles between users, and recommends friends to users if their life styles have high similarity. . Existing social networking services recommend friends to users based on their social graphs, which may not be the most appropriate to reflect a user’s preferences on friend selection in real life. Inspired by text mining, we model a user’s daily life as life documents, from which his/her life styles are extracted by using the Latent Dirichlet Allocation algorithm. We further propose a similarity metric to measure the similarity of life styles between users, and calculate users’ impact in terms of life styles with a friend-matching graph. Upon receiving a request, Friend book returns a list of people with highest recommendation scores to the query user. Finally, Friend book integrates a feedback mechanism to further improve the recommendation accuracy.

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

First, Friend book protects users’ privacy at the data level. Instead of uploading raw data to the servers, Friend book processes raw data and classifies them into activities in real-time. The Recognized activities are labeled by integers.

Second, Friend book protects users’ privacy at the life pattern level. Instead of telling the similar life styles of users, Friend book only shows the recommendation scores of the recommended friends with the users.

PROPOSED CONCEPT:-

In FB life style information is discovered from smart phone sensors. We model the daily lives of users as life documents and use the probabilistic topic model to extract life style information of users.

We propose a unique similarity metric to characterize the similarity of users in terms of life styles and then construct a friend-matching graph to recommend friends to users based on their life styles.

 

EXISTING ALGORITHM:-

Iterative algorithm.

 

PROPOSED ALGORITHM:-

Latent Dirichlet Allocation algorithm.

ALGORITHM  DEFNITION:-

An iterative method is a mathematical procedure that generates a sequence of improving approximate solutions for a class of problems. A specific implementation of an iterative method, including the termination criteria, is an algorithm of the iterative method. 

ALGORITHM  DEFNITION:-

LDA algorithm and alternative decomposition approaches. It is worth noting that the matrix decomposition process can be implemented more efficiently through incremental iteration.

DRAWBACKS:-

Recommendation accuracy is impossible in existing system.

Thus the two users’ privacy is effectiveness in the existing system.

ADVANTAGES:-

Improve the recommendation accuracy.

Demonstrate the effectiveness of our propose system compare the existing system.

 
 
MILE STONES
GUARANTEES
CONTACT US
 
Training and Developemet, Engg Projects
So far we have provided R&D training for more than 1,00,000 engineering Students.
Latest Projects 2012, Latest Technologiy Project
Had conducted seminars in the recent trends of technology at various colleges.
Our research projects had been presented in various National & International Conferences.
Most of our projects were identified by the industries as suitable for their needs.
Our n-number of students got research scholarship to extend our assisted projects for further development.
   
   
Training and Developemt, Project Development in Chennai
SPIRO guarantees small class sizes.
Final Year Projects
SPIRO guarantees quality instructors.
Student Projects, Stupros
SPIRO guarantees competence.
Projects, student projects
SPIRO guarantees that training from SPIRO will be more cost-effective than training from any other source.
Final Year Projects, Projects, student projects
SPIRO guarantees that students in open-enrollment classes are protected against cancellations and will be able to receive desired training at the cost they expect and in the time frame they have planned.
Projects for student
SPIRO guarantees overall quality with a 100% money-back guarantee. If you're not totally satisfied for any reason, simply withdraw before the second day of any class. Notify the instructor and return all course materials and you will receive a 100% refund.
SPIRO SOLUTIONS PRIVATE LIMITED
For ECE,EEE,E&I, E&C & Mechanical,Civil, Bio-Medical
#1, C.V.R Complex, Singaravelu St, T.Nagar, Chennai - 17,
(Behind BIG BAZAAR)Tamilnadu,India
Mobile : +91-9962 067 067, +91-9176 499 499
Landline : 044-4264 1213
Email: info@spiroprojects.com

For IT, CSE, MSC, MCA, BSC(CS)B.COM(cs)
#78, 3rd Floor, Usman Road, T.Nagar, Chennai-17.
(Upstair Hotel Saravana Bhavan) Tamilnadu,India
Mobile: +91-9791 044 044, +91-9176 644 044
E-Mail: info1@spiroprojects.com
About Us | Project Training | Privacy policy | Disclaimer | Contact Us

Copyright © 2015-2016 Stupros All rights reserved.