کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
562229 1451943 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A picture tells a thousand words—About you! User interest profiling from user generated visual content
ترجمه فارسی عنوان
یک عکس به هزار کلمه می گوید درباره شما! پروفایل کاربری علاقه مند از محتوای بصری ایجاد شده توسط کاربر
کلمات کلیدی
پروفایل کاربری چند رسانه ای اجتماعی، تجزیه و تحلیل چند رسانه ای
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• We propose to solve user profiling using visual content.
• We propose a group-level label propagation for user-level interest estimation.
• A large scale dataset has been built for user profiling.

Inference of online social network users׳ attributes and interests has been an active research topic. Accurate identification of users׳ attributes and interests is crucial for improving the performance of personalization and recommender systems. Most of the existing works have focused on textual content generated by the users and have successfully used it for predicting users׳ interests and other identifying attributes. However, little attention has been paid to user generated visual content (images) that is becoming increasingly popular and pervasive in recent times. We posit that images posted by users on online social networks are a reflection of topics they are interested in and propose an approach to infer user attributes from images posted by them. We analyze the content of individual images and then aggregate the image-level knowledge to infer user-level interest distribution. We employ image-level similarity to propagate the label information between images, as well as utilize the image category information derived from the user created organization structure to further propagate the category-level knowledge for all images. A large scale social network dataset of 1.5+ million images created from Pinterest is used for evaluation and the experimental results demonstrate the effectiveness of our proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 124, July 2016, Pages 45–53
نویسندگان
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