ELITE - A novel ranking algorithm for social networking sites

نویسندگان

  • Khuan Yew Lee
  • Jer Lang Hong
چکیده

Social networks need to manage and control the drift of insane amount of information by filtering and ranking everything in order to ensure they are right there for users’ viewing pleasure. However, the realization of social networks ranking is currently dictated by fairly straightforward optimization algorithms. Hence, there is a need for a newly enhanced and improved ranking algorithm to be formulated since users have been occasionally seeing what they should not. A composition of a generic score and a collective score that would equate to a whopping new-fangled algorithm called E.L.I.T.E. which comprises of five essential elements Engagement-U, Lifetime, Impression, Timeframe and Engagement-O in ensuring a more accurate result for users to see more of what they care about, less of what they do not and more of who they are interested in, less of who they are not. Engagement-U is the affinity between users measured by the relationships and other related interests between them, Lifetime is a trace of users’ past based on their positive, neutral and even negative interactions and actions with other users, Impression is the weight of each object determined by the number of positive responses from users, Timeframe is the timeline scoring technique in which an object naturally loses its value as time passes and Engagement-O is the attraction of users to objects measured between objects and associated interests of users.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Semantic Web Improved with the Weighted IDF Feature

The development of search engines is taking at a very fast rate. A lot of algorithms have been tried and tested. But, still the people are not getting precise results. Social networking sites are developing at tremendous rate and their growth has given birth to the new interesting problems. The social networking sites use semantic data to enhance the results. This provides us with a new perspec...

متن کامل

Pathological Use of Social Networking Sites in Mothers (A Quantitative and Qualitative Study) 

The present article seeks to investigate how pathological use of social networking sites (SNS) in mothers is related to their marital satisfaction,  mother-child relationship, and children’s behavioral problems. This study had a mixed methods research design with quantitative and qualitative components. In the quantitative part with correlational design, 323 mothers who had preschool children w...

متن کامل

Learning to Make Social Recommendations: A Model-Based Approach

Social recommendation, predicting people who match other people for friendship or as potential partners in life or work, has recently become an important task in many social networking sites. Traditional content-based and collaborative filtering methods are not sufficient for people-to-people recommendation because a good match depends on the preferences of both sides. We proposed a framework f...

متن کامل

The State of Online Social networking among Library and Information Sciences Students

Background and Aim: The present paper discusses results of a study which aimed to explore the knowledge and use of Online social networking by MLIS students in Iran and to explore their perceptions of using that technology for academic and professional purposes, and challenges they face for using them. Method: The research method was explorative and empirical. Data was collected through a web-b...

متن کامل

Semantic Web Improved with the Weighted IDF Feature and the Class Information

The development of search engines is taking at a very fast rate. Different algorithms have been tried and tested. Still the results are not precise. Social networking sites are developing at tremendous rate and their growth has given birth to the new interesting problems. The social networking sites use semantic data to enhance the results. This provides us with a new perspective on how to impr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012