Online Listing Search Filtering with Location and Trust Attributes
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Solution Overview
Problem
Traditional online classified sites provide limited search capabilities, relying primarily on free-text searches, making it cumbersome and inefficient for users to find desired items, and lack personalization, which can be intimidating for new users and restrictive in scope for local listings.
Innovation Solution
A system that offers advanced filtering and searching capabilities, allowing users to select various attributes such as location, delivery mode, price, and trust level, with dynamic suggestions and the ability to recall previous searches, and incorporates other online communities to expand the user's search, providing a more focused and efficient search experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If free-text search is used for simplicity, then ease of operation is improved, but search precision and efficiency deteriorate
Solution Approach 1:
The search function is segmented into multiple independent filter components (location filter, price filter, category filter, trust level filter, etc.), allowing users to break down complex searches into manageable segments. Each filter operates independently but contributes to the overall search precision, resolving the contradiction between ease of operation and search precision.
Solution Approach 2:
The search system transitions from one-dimensional free-text search to multi-dimensional filtering by adding multiple attribute dimensions (geographic location, price range, item category, seller trust level, delivery options). This dimensional expansion enables precise searching while maintaining user-friendly operation through dropdown menus and checkbox interfaces.
2Quantity of substance
If national-scale marketplace is implemented to increase scope, then quantity of listings is improved, but personalization and user comfort deteriorate
Solution Approach 1:
The system applies local quality by allowing users to define their own search scope through location filters and radius parameters. Users can center their search on local areas for personalized results or expand to national scope when needed. The trust level filters and community-based features further personalize the marketplace experience while maintaining access to large quantities of listings.
Solution Approach 2:
The search scope and filtering criteria are made dynamic rather than fixed. Users can dynamically adjust location radius, price ranges, and category selections based on their needs. The system adapts to user behavior by recalling previous searches and suggesting relevant filters, providing both broad national coverage and personalized local experiences.
3Productivity
If multiple filters are added to improve search precision, then search efficiency is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-organizing filter options based on item categories and user preferences. Common filters are pre-configured and automatically suggested based on the selected category, reducing the complexity users would otherwise need to manage manually while maintaining high search efficiency.
Solution Approach 2:
The system provides self-service by automatically recalling previous search queries and suggesting relevant filters based on user behavior patterns. This automation reduces the complexity burden on users, as the system adapts to their preferences without requiring them to manually configure complex filter combinations each time.
4Reliability
If trusted messaging services are implemented to mitigate spam, then reliability is improved, but device complexity increases
Solution Approach 1:
The system introduces a trusted messaging service as an intermediary between buyers and sellers. This mediator layer provides spam filtering, message verification, and secure communication protocols without requiring direct complex security implementations by users. The intermediary handles the complexity of trust management centrally while providing simple, reliable messaging to end users.
Data Source
AI summary
A unique system and method that facilitates searching an online listing service by employing a plurality of attributes, parameters, and search terms in a search query is provided. The system and method involve using parameters such as the listed item's location and a trust category associated with the listed item to assist in providing more meaningful listings in response to the search query. These parameters can be applied to one or more search queries or can be modified for each search query. Categories, subcategories, and attributes can also be used to optimize the searching capability of the system and method. In particular, the set of available attributes displayed to a user can depend on the particular category and/or subcategory. Listing owners can manage their listings and increase traffic and/or revenue using such filtering and viewing modes.