Behavior-Based Browser Bookmarks for Wireless Access
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Solution Overview
Problem
Users of portable communication devices face delays in accessing web content due to the time-consuming process of finding and loading bookmarked web pages, especially in wireless networks, where sequential transmission and acknowledgement protocols exacerbate the issue.
Innovation Solution
A method and system that generate 'smart' bookmarks based on user behavior, including frequently visited sites and times of day, allowing the device to pre-load and render web pages automatically when the user launches the browser, utilizing a clock, location component, and browsing-data collection to identify patterns and generate bookmarks for timely rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual bookmark creation is used, then users can access web pages through bookmarks, but the process of finding and selecting bookmarks consumes time
Solution Approach 1:
The system performs preliminary actions by automatically creating bookmarks and pre-loading web pages before the user actually needs them. The browser monitors usage patterns, identifies frequently visited pages, and prepares them in advance, eliminating the need for manual bookmark creation and selection at the moment of need.
Solution Approach 2:
The system provides self-service by automatically managing bookmark creation and web page pre-loading based on user behavior patterns. The browser autonomously monitors which pages are visited most frequently and handles the entire process of bookmark generation and pre-loading without requiring user intervention.
2Loss of time
If web pages are pre-loaded in advance, then access time is reduced, but network bandwidth and device resources are consumed
Solution Approach 1:
The system applies partial action by selectively pre-loading only those web pages that are predicted to be accessed based on usage patterns, rather than pre-loading all possible pages. This targeted approach minimizes unnecessary network traffic and resource consumption while still achieving the benefit of reduced access time for relevant pages.
Solution Approach 2:
The system uses feedback from monitoring user browsing behavior to dynamically adjust which pages are pre-loaded. By analyzing which pages are visited most frequently and at what times, the system optimizes resource allocation by pre-loading only the most likely candidates, thereby reducing wasted network bandwidth and device resources.
Data Source
AI summary
Methods and apparatus for obtaining web content are disclosed. The method may include storing a history of webpages requested via a browser of the communication device and generating a bookmark for a webpage in response to the at least one webpage being requested more than a threshold number of times at a particular time. The bookmark is then stored in association with the particular time, and when the particular time occurs, the webpage is requested and rendered on the communication device so the webpage is rendered in advance of a user launching the browser.