2 results about "Preference weight" patented technology

Method for multi-objective optimization of a list of time slots for stakeholders (A, B, …), (a) wherein an initial list (L0) of flights in time slots is provided, (b) wherein each stakeholder (A, B, …) provides preferences in the format of a weight map (wi) comprising at least a time preference value (ti) assigned to each combination of time slot and item-ID for the respective stakeholder, (c) wherein a value of satisfaction (v) is defined that corresponds to the fulfilment of the preferences by distributing either the time slots or item-IDs in a specific list (Li), and wherein a first objective is provided that consists of generating an improved list (Lf) in which the value of satisfaction (v) is the highest, (d) wherein repeatedly for a predefined number of times two items are permutatively swapped and multiple times repeat: (e) generate a next generation of candidate lists comprising a predefined number of lists (Lc2i) by (e.1) taking a predefined number of candidate lists with best specific values of satisfaction (vi) of the given generation and for each of the chosen lists doing a predefined number of swaps according to a constraint (cm), and / or (e.2) taking a predefined number of candidate lists and combine two or more of the chosen lists according to a constraint (cc), each list having a specific value of satisfaction (vi).

This invention relates to the field of big data analytics, and discloses a method and system for analyzing consumer behavior in cultural tourism marketing. The invention quantifies the impact of context by introducing context intensity and duration, and dynamically adjusts user preference weights accordingly. This allows the system to more sensitively capture and respond to the user's real needs in the current context, avoiding erroneous recommendations caused by over-reliance on long-term preferences. Furthermore, the progressive weight recovery mechanism effectively avoids the problem of over-correction that may occur after the context ends, ensuring the consistency and stability of recommendations. Therefore, this invention effectively solves the problem in existing cultural tourism marketing systems where the recommendation decision-making mechanism becomes rigid and unable to accurately respond to the user's immediate needs when the user's travel context changes temporarily; it significantly improves the accuracy of cultural tourism marketing recommendations and user satisfaction, optimizes user experience, and improves the utilization efficiency of marketing resources.