A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items

A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items

Content-Based recommender systems (CB) filter relevant items to users in overloaded search spaces using information about their preferences. However, classical CB scheme is mainly based on matching between items descriptions and user profile, without considering that context may influence user prefe...

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Bibliographic Details
Main Authors: Jorge Castro, Raciel Yera Toledo, Ahmad A. Alzahrani, Pedro J. Sanchez, Manuel J. Barranco, Luis Martinez
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Content-based recommender system
context-awareness
user profile contextualization
map-reduce
big data
Online Access:https://ieeexplore.ieee.org/document/8924671/

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