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If You Like Trey Songz

Music

Based on real preference data from thousands of voters, here's what fans of Trey Songz also love. Use these connections to discover your next favorite.

90 connections found

90 connections
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110x
54 voters
2
92x
60 voters
3
76x
66 voters
4
65x
51 voters
5
55x
81 voters
6
52x
78 voters
7
52x
58 voters
8
51x
117 voters
9
50x
84 voters
10
50x
68 voters
11
49x
55 voters
12
46x
68 voters
13
45x
180 voters
14
44x
91 voters
15
41x
56 voters
16
37x
69 voters
17
36x
174 voters
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34x
76 voters
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32x
65 voters
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30x
72 voters
21
30x
106 voters
22
28x
119 voters
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26x
62 voters
24
25x
95 voters
25
25x
204 voters
26
25x
94 voters
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24x
90 voters
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24x
58 voters
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24x
51 voters
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22x
108 voters
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21x
61 voters
32
21x
57 voters
33
19x
51 voters
34
16x
53 voters
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16x
69 voters
36
16x
99 voters
37
16x
84 voters
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15x
53 voters
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14x
61 voters
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14x
58 voters
41
14x
100 voters
42
13x
70 voters
43
13x
54 voters
44
13x
54 voters
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12x
109 voters
46
12x
50 voters
47
11x
79 voters
48
10x
60 voters
49
10x
64 voters
50
10x
59 voters
51
10.0x
99 voters
52
9.2x
89 voters
53
8.9x
52 voters
54
8.8x
53 voters
55
8.8x
58 voters
56
8.7x
69 voters
57
8.1x
102 voters
58
8.0x
99 voters
59
7.3x
59 voters
60
7.1x
93 voters
61
6.7x
158 voters
62
6.0x
76 voters
63
5.7x
50 voters
64
5.7x
58 voters
65
5.6x
54 voters
66
5.4x
66 voters
67
5.2x
54 voters
68
5.2x
80 voters
69
4.9x
78 voters
70
4.7x
69 voters
71
4.1x
82 voters
72
3.7x
58 voters
73
3.2x
71 voters
74
3.2x
58 voters
75
3.1x
50 voters
76
2.3x
50 voters
77
1.8x
55 voters
78
0.1x
5 voters
79
0.1x
4 voters
80
0.0x
4 voters
81
0.0x
6 voters
82
0.0x
5 voters
83
0.0x
5 voters
84
0.0x
4 voters
85
0.0x
4 voters
86
0.0x
4 voters
87
0.0x
4 voters
88
0.0x
4 voters
89
0.0x
4 voters
90
0.0x
10 voters

How does this work?

These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Trey Songz consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Trey Songz are to enjoy each recommendation compared to the average person.

Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.