Profile Reset Logic That Preserves Matches in User Recommendations
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Solution Overview
Problem
Users of online networking sites often grow dissatisfied with their recommendations and resort to deleting their accounts to reset them, leading to a loss of previous data and matches, which is time-consuming and negatively impacts user retention.
Innovation Solution
A system that allows users to reset their recommendations by maintaining a portion of their profile and interactions while deleting or updating others, enabling them to control their recommendations without starting anew.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users delete their accounts to reset recommendations, then recommendations are reset, but user data and matches are lost
Solution Approach 1:
The patent segments the profile into different components: immutable data (user ID, creation date), mutable data (preferences, settings), and interactions (matches, likes). This segmentation allows selective resetting of only the recommendation-related portions while preserving user identity and valuable data, resolving the contradiction between resetting recommendations and retaining information.
Solution Approach 2:
The patent applies local quality by treating different portions of the profile differently - some portions are reset (interactions, mutable data) while others are preserved (immutable data, matches). This localized approach to data management allows recommendation reset without complete data loss, addressing the contradiction between resetting and information retention.
2Adaptability or versatility
If users delete and recreate accounts to reset recommendations, then recommendations are refreshed, but time and effort are wasted
Solution Approach 1:
The patent implements preliminary action by pre-identifying and preserving immutable user data and established matches before the reset process. This preparation ensures that when recommendations are refreshed, users don't need to recreate their profiles or lose valuable connections, thereby eliminating the time-wasting aspect of account deletion while maintaining recommendation adaptability.
Solution Approach 2:
The patent maintains continuity of useful action by preserving matches and core profile data throughout the reset process. Users continue to benefit from their established connections and don't need to restart their networking journey, thus maintaining continuous valuable interactions while still achieving recommendation refreshment.
3Adaptability or versatility
If users delete accounts to take advantage of new user promotions, then promotional benefits are obtained, but previous progress is lost
Solution Approach 1:
The patent applies discarding and recovering by selectively discarding only the portions of the profile that prevent promotional eligibility (interactions, mutable data) while recovering and preserving valuable user data (immutable profile, matches). This allows users to qualify for new user promotions without permanently losing their progress, resolving the contradiction between promotional benefit access and progress retention.
Data Source
AI summary
A method includes forming a first recommendation, for a first user of a networking site, of a second user of the networking site, at least in part based on a first profile of a first account of the first user on the networking site and a second profile of a second account of the second user on the networking site; performing a first interaction between the first account and the second account; receiving a request to reset the first profile; producing an updated profile by maintaining a first portion of the first profile and resetting a second portion of the first profile; and forming a second recommendation, for the first user, of the second user, at least in part based on the updated profile.