embeddings-excel

	A	B	C	D	F	G	H	I	J	K	L	M	N
1	Users and Items Variables				Dataset			User Embeddings		Item Embeddings		Predicted Click	Error
2		Id	Embeddings		User	Item	Click
3	Users	Kamilla	-0.17	-0.43	Kamilla	Audi Quattro	1	-0.167	-0.432	-1.045	0.000	0.175	0.825
4		Tina	0.07	0.48	Kamilla	Kitchen Table	1	-0.167	-0.432	0.023	1.417	-0.617	1.617
5		Espen	-0.38	-0.35	Espen	Macbook	0	-0.378	-0.350	0.898	-0.061	-0.318	0.318
6		Thorkild	0.49	-0.31	Espen	Macbook Pro	1	-0.378	-0.350	1.397	-0.969	-0.188	1.188
7	Items	Audi Quattro	-1.04	0.00	Espen	Audi Quattro	0	-0.378	-0.350	-1.045	0.000	0.394	0.394
8		Kitchen Table	0.02	1.42	Tina	Kitchen Table	1	0.070	0.483	0.023	1.417	0.686	0.314
9		Macbook	0.90	-0.06	Tina	Macbook Pro	1	0.070	0.483	1.397	-0.969	-0.371	1.371
10		Macbook Pro	1.40	-0.97	Thorkild	Kitchen Table	0	0.487	-0.311	0.023	1.417	-0.430	0.430
11					Thorkild	Macbook	1	0.487	-0.311	0.898	-0.061	0.456	0.544
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13												Average Error	0.778
14	Users and Items are represented by embeddings. In this case we are using a two-dimensional embedding (column C and D), but it could be any number.				This is the dataset of the behaviour of the different users. It consist of which items the user have looked at. It also consist of the item the user have not looked at. We could have included all items the user have not looked at, but omitted that for simplicity. In column I to L we have just copied the embeddings found in column C and D for the user and the item.							Our models prediction of click (1.0) or no click (0.0). Made by multiplying the user and item embeddings together and taking the sum (column I * column K + column J *column L). At the start, these numbers are completely random.	The error of the model. It is simply the difference between column H and M.
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17			Initial random numbers (copy+paste to start over again)
18			-0.17	-0.43
19			0.07	0.48
20			-0.38	-0.35
21			0.49	-0.31
22			0.09	0.22
23			-0.23	0.32
24			0.16	-0.27
25			0.29	-0.45
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41		Random Numbers for initialization
42		-0.01102397306	-0.2935287688
43		-0.11129835	-0.2913250028
44		-0.001528846387	0.2511287181
45		-0.2674041246	0.4033952959
46		-0.2662712979	0.4487490031
47		-0.2163438093	-0.3600340042
48		-0.3937301856	-0.06519333833
49		0.3816085998	-0.1173700647
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