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		-0.1026941702	0.2609605542
43		0.2689827478	-0.1546417604
44		0.05592306902	-0.3619154042
45		0.06614384762	-0.2936859784
46		0.354380528	-0.4828664754
47		-0.3581916173	-0.2330555745
48		0.3875684926	0.2313608559
49		-0.1708606803	0.1175077878
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