Automated Search Bookmarking System for Reducing Repetitive Queries
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Solution Overview
Problem
Users often repeat search queries as they fail to remember previous ones, leading to an unsatisfying and frustrating search experience due to the lack of a method to efficiently store and retrieve relevant search information.
Innovation Solution
Implementing a system that automatically stores and generates bookmarks by recording search queries and user clicks, allowing for the retrieval of previously accessed search results through a user interface, where bookmarks are displayed with associated hypertext links and click frequency-based display characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If search queries are manually remembered and retried, then users can retrieve previously viewed documents, but users experience frustration and waste time due to not remembering previous queries
Solution Approach 1:
The system automatically generates bookmarks representing previously submitted search queries and stores them for later retrieval. This preliminary action eliminates the need for users to manually remember their previous search queries, as the system proactively captures and preserves search history in an easily accessible format.
Solution Approach 2:
The system creates bookmark copies of previous search queries that users can select to quickly retrieve previously viewed documents. Instead of requiring users to recreate or remember original queries, the system generates simplified bookmark representations that replicate the essential access function of the original search.
2Ease of operation
If the system stores detailed information about all previous searches and user clicks, then users can easily retrieve previously accessed documents, but the system complexity increases
Solution Approach 1:
The system extracts only the essential information needed for user retrieval - specifically, bookmark representations of search queries and associated hypertext links to clicked documents. Rather than storing complete search metadata, the system isolates and stores only the critical elements needed to reconstruct previous search experiences.
Solution Approach 2:
The bookmark system serves multiple functions: it stores search query information, tracks user click behavior, generates retrieval interfaces, and provides both automated and manual access methods. This multi-functionality consolidates what could be separate complex systems into a unified bookmark management approach.
3Productivity
If the system automatically generates bookmarks with user click information, then users benefit from improved search experience, but the automation process requires sophisticated tracking and storage mechanisms
Solution Approach 1:
The system automatically monitors user interactions with search results and autonomously generates bookmarks without requiring explicit user commands. The automation serves itself by using the same search infrastructure to track clicks and create bookmarks, eliminating the need for separate complex tracking systems.
Solution Approach 2:
The system uses user click behavior as feedback to automatically update and refine bookmark information. By monitoring which documents users click on during search result displays, the system dynamically adjusts bookmark content to reflect actual user interests and retrieval patterns.
Data Source
AI summary
In one embodiment, a search query is received. Information identifying a bookmark representing the search query is automatically stored in association with a set of bookmarks. Search results corresponding to the search query are automatically obtained and provided, where the search results identify one or more documents. When one of the documents is selected, a link to the selected one of the documents is automatically stored in association with the bookmark.