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People recommendation based on aggregated bidirectional intentions in social network site
conference contribution
posted on 2023-05-23, 09:18 authored by Kim, YS, Mahidadia, A, Compton, P, Cai, X, Bain, M, Krzywicki, A, Wobcke, WIn a typical social network site, a sender initiates an interaction by sending a message to a recipient, and the recipient can decide whether or not to send a positive or negative reply. Typically a sender tries to find recipients based on his/her likings, and hopes that they will respond positively. We examined historical data from a large commercial social network site, and discovered that a baseline success rate using such a traditional approach was only 16.7%. In this paper, we propose and evaluate a new recommendation method that considers a sender’s interest, along with the interest of recipients in the sender while generating recommendations. The method uses user profiles of senders and recipients, along with past data on historical interactions. The method uses a weighted harmonic mean-based aggregation function to integrate “interest of senders” and “interest of recipients in the sender”. We evaluated the method on datasets from the social network site, and the results are very promising (improvement of up to 36% in success rate).
History
Publication title
Lecture Notes in Computer Science Volume 6232: PKAW 2010Editors
B-H Kang, D RichardsPagination
247-260ISBN
978-3-642-15036-4Department/School
School of Information and Communication TechnologyPublisher
Springer-VerlagPlace of publication
GermanyEvent title
The 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and ServicesEvent Venue
Daegu, KoreaDate of Event (Start Date)
2010-08-20Date of Event (End Date)
2010-09-03Rights statement
Copyright 2010 SpringerRepository Status
- Restricted