A Recommendation Algorithm Based on Matrix Completion Against Torture Attack
A technology of matrix completion and recommendation algorithm, applied in the field of information security in the field of computer technology, and can solve problems such as trust attacks
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[0081] A matrix-completion-based anti-trust attack recommendation algorithm includes the following steps:
[0082] 1) Establish user-item rating matrix:
[0083] m users form user set U={u 1 ,u 2 ,... u m}, n items constitute the item collection I={i 1 ,i 2 ,…i n}, the user-item rating matrix can be expressed as
[0084]
[0085] Among them, the rating of user u on item i is denoted as r i,j , "*" indicates a known score, and "?" indicates an unknown score.
[0086] 2) Establish a recommendation system model:
[0087] For recommendation system problems, low-rank matrix completion techniques can be used for score prediction. Using R to represent the currently observed scoring matrix, the recommendation system problem can be modeled as:
[0088]
[0089] Among them, the Ω set represents the set of element subscripts that have received ratings in the scoring matrix, The X matrix is a low-dimensional unknown matrix, σ i is the matrix kernel norm, σ i is t...
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