کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
388438 | 660925 | 2008 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Discovering cohesive subgroups from social networks for targeted advertising
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Discovering cohesive subgroups from social networks for targeted advertising Discovering cohesive subgroups from social networks for targeted advertising](/preview/png/388438.png)
چکیده انگلیسی
In this paper, we propose a framework that utilizes the concept of a social network for the targeted advertising of products. This approach discovers the cohesive subgroups from a customer’s social network as derived from the customer’s interaction data, and uses them to infer the probability of a customer preferring a product category from transaction records. This information is then used to construct a targeted advertising system. We evaluate the proposed approach by using both synthetic data and real-world data. The experimental results show that our approach does well at recommending relevant products.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 34, Issue 3, April 2008, Pages 2029–2038
Journal: Expert Systems with Applications - Volume 34, Issue 3, April 2008, Pages 2029–2038
نویسندگان
Wan-Shiou Yang, Jia-Ben Dia,