An Augmented User Model for Personalized Search in Collaborative Social Tagging Systems

An Augmented User Model for Personalized Search in Collaborative Social Tagging Systems

Alongside the enormous volume of user-generated content posted to World Wide Web, there exists a thriving demand for search personalization services. To provide personalized services, a user model is usually required. We address the setting adopted by the majority of previous work, where a user mode...

Full description

Bibliographic Details
Main Authors: Wenyu Zhao, Dong Zhou, Xuan Wu, Séamus Lawless, Jianxun Liu
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2017-10-01
Series:EAI Endorsed Transactions on Collaborative Computing
Subjects:
Personalized Social Search
Collaborative Social Tagging Systems
Latent Dirichlet Allocation
Neural Language Model
Query Expansion
Online Access:http://eudl.eu/doi/10.4108/eai.9-10-2017.154549

Internet

http://eudl.eu/doi/10.4108/eai.9-10-2017.154549

Similar Items