Home Area Recommender Integrating Social Network Data
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Solution Overview
Problem
Current real estate search systems provide limited information to users, focusing mainly on basic property details and lacking comprehensive, reliable data on neighborhoods and locations, which can lead to incomplete and untrustworthy search results.
Innovation Solution
A system that compiles both objective and subjective location-relevant information by integrating user-provided inputs with social network data and real estate databases, allowing for personalized location recommendations based on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If basic property details are provided through automated search, then search efficiency is improved, but information completeness deteriorates
Solution Approach 1:
The patent merges automated search capabilities with social network data and user-generated content to create a comprehensive information system. This combines the efficiency of automated property searching with the richness of subjective location information from social networks, resolving the contradiction between search speed and information completeness
Solution Approach 2:
The system introduces social network platforms as intermediaries between property listings and users. These intermediaries provide additional layers of information including neighborhood reviews, local insights, and community data that enhance the basic automated search results without reducing search efficiency
2Reliability
If agent-provided personalized information is used, then information reliability is improved, but user independence deteriorates
Solution Approach 1:
The system enables users to independently access and evaluate personalized location information through social network platforms. Users can read reviews, compare neighborhood data, and make decisions based on aggregated community insights without requiring agent intervention, thus maintaining both information reliability and user independence
Solution Approach 2:
The patent combines professional agent knowledge with user-generated social network content, creating a hybrid information system that maintains reliability through multiple sources while eliminating the need for direct agent involvement in the search process
3Reliability
If comprehensive location information is collected from social networks, then recommendation quality is improved, but system complexity deteriorates
Solution Approach 1:
The system leverages the existing multi-functional nature of social network platforms to handle data collection, storage, processing, and presentation. By utilizing the social network's established infrastructure for these functions, the system achieves comprehensive information gathering without proportionally increasing overall system complexity
Data Source
AI summary
Disclosed herein are a method, system, and computer-readable storage medium with instructions for recommending locations to a user. Preferred criteria may be selected by the user, for example, or a third party, and provide objective or subjective information that the user is seeking in a location. Embodiments may include compiling objective information with the location and comparing the objective information to preferred criteria. A user's profile may be compared to another person's profile, where the other person's profile is associated to the location. A location may be recommended to the user if the objective information correlates to the preferred criteria and if the other person's profile correlates to the user's profile. Subjective information associated with the location may be provided to the user along with the recommended location. Furthermore, a location may be recommended to the user if the subjective information correlates to the preferred criteria.