KaM_CRK: Clustering and Ranking Knowledge for Reasonable Results Based on Behaviors and Contexts

Algorithm 1

Prepare Set.

(1) Input: user’s context attribute A ∈ user’s context attribute set 𝑋𝐴 and JANs’ attribute sets

   𝑌₁,𝑌₂,…,𝑌_𝑘 and𝑦_𝑖∈𝑌₁∪𝑌₂∪⋯𝑌_𝑘. The number of elements in 𝑌₁∪𝑌₂∪⋯𝑌_𝑘 is 𝑚.

(2) Initialize: Select attribute 𝐴 to compare with elements of 𝑌₁,𝑌₂,…,𝑌_𝑘 sets.

(3) If 𝐴~𝑦_𝑖, put 𝑦_𝑖↔JAN in Prepare Set 𝐴 and 𝑖++.

(4) If 𝑖≠𝑚 continue and Update Set 𝐴.

(5) return (3)

(6) if 𝑖=𝑚

(7) end if.

(8) Output: Prepare Set 𝐴.