Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields
Table 10: Derived Boolean utility matrix enriched by auxiliary information
['[EMPTY]', '[ITALIC] m1', '[ITALIC] m2', '[ITALIC] m3', '[ITALIC] m4', '[ITALIC] m5', '[ITALIC] m6', '[ITALIC] f1', '[ITALIC] f2', '[ITALIC] f3', '[ITALIC] f4', '[ITALIC] f5']
⎛⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜⎝100100011010001100100001011010001100001010000100100011101010000100010010000010100100000000⎞⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟⎠∘⎛⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜⎝100100000000110011001000001110001101100011000000110000000100100010011001000001011000000010110001000⎞⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟⎠ □ However, in this case in the obtained user profiles vectors most of the components are getting zeros, and thus we lose similarity information.