Sense-Based Topic Word Embedding Model for Item Recommendation

Sense-Based Topic Word Embedding Model for Item Recommendation

As a useful way to help users filter information and save time, item recommendation intends to recommend new items to users who tend to be interested. As the most common format related to items in online social networks, short texts have always been disregarded by previous research on item recommend...

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Bibliographic Details
Main Authors: Ya Xiao, Zhijie Fan, Chengxiang Tan, Qian Xu, Wenye Zhu, Fujia Cheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Social networking
short text
word sense
topic assignment
item recommendation
Online Access:https://ieeexplore.ieee.org/document/8682139/

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