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A Hybrid Approach to Service Recommendation Based on Network Representation LearningV5.0
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- Citation Author(s):
- Submitted by:
- Hao Wu
- Last updated:
- Tue, 05/17/2022 - 22:17
- DOI:
- 10.21227/419c-vx41
- Research Article Link:
- License:
- Categories:
- Keywords:
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Abstract
A Hybrid Approach to Service Recommendation Based on Network Representation Learning
Instructions:
1892 users
17632 artists
12717 bi-directional user friend relations, i.e. 25434 (user_i, user_j) pairs
avg. 13.443 friend relations per user
92834 user-listened artist relations, i.e. tuples [user, artist, listeningCount]
avg. 49.067 artists most listened by each user
avg. 5.265 users who listened each artist
11946 tags
186479 tag assignments (tas), i.e. tuples [user, tag, artist]
avg. 98.562 tas per user
avg. 14.891 tas per artist
avg. 18.930 distinct tags used by each user
avg. 8.764 distinct tags used for each artist
Documentation
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