arXiv Open Access 2012

Multi-Output Recommender: Items, Groups and Friends, and Their Mutual Contributing Effects

Wei Zeng Li Chen

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Abstrak

Due to the development of social media technology, it becomes easier for users to gather together to form groups. Take the Last.fm for example, users can join groups they may be interested where they can share their loved songs and discuss topics about songs and singers. However, the number of groups grows over time, users need effective groups recommendations in order to meet more like-minded users.

Topik & Kata Kunci

cs.IR

Penulis (2)

Wei Zeng

Li Chen

Format Sitasi

APA MLA BibTeX

Zeng, W., Chen, L. (2012). Multi-Output Recommender: Items, Groups and Friends, and Their Mutual Contributing Effects. https://arxiv.org/abs/1204.2032

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Informasi Jurnal

Tahun Terbit: 2012
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓