Read the equation
Blends each old memory coefficient with a weighted basis feature of a normalized item hash. Importance is transformed by Φ before scaling the feature. The 16 coefficients form a compressed feature representation, so the source items are not generally recoverable uniquely from this vector alone.
Its role in the build
Blends each old memory coefficient with a weighted basis feature of a normalized item hash.
Terms & definitions
The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.
How it works
Read θ_k^{new} as the quantity being defined or updated by this relation.
Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.
Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.
Assumptions & limits
Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.
Original context
Exact original notation
θ_k^{new} = (1-α) × θ_k^{old} + α × w × ψ_k(h(item)) × Φ(importance)Related builds
Sources & provenance
θ_k^{new} = (1-α) × θ_k^{old} + α × w × ψ_k(h(item)) × Φ(importance)