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Friendbook: A scalable and efficient friend recommendation using integrated feedback approach


Article Information

Title: Friendbook: A scalable and efficient friend recommendation using integrated feedback approach

Authors: T. Gayathri Devi, R. Lakshmi

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 11

Language: English

Categories

Abstract

Friend book is a novel semantic-based friend recommendation system for social networks, based on their life styles instead of social graphs which recommend friends to users. Friend book discovers life styles of users, measures the similarity of life styles between users, if their life styles have high similarity it recommends friends to users. User’s daily life is modelled as life documents, from which users life styles are extracted by using the Latent Dirichlet Allocation algorithm; Similarity metric to measure the similarity of life styles between users, user’s impact is calculated in terms of life styles with a friend-matching graph. A linear feedback mechanism is integrated that exploits the user’s feedback to improve recommendation accuracy.


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