Predictive URL Suggestion for Unknown Hosts

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Solution Overview

Problem

Existing URL autocomplete features do not provide suggestions for previously unknown hosts, limiting user navigation to new websites based solely on previous visits.

Innovation Solution

A computer-implemented method that records user URL interactions, assigns weight values to new host URLs based on usage details and similarity to recorded URLs, and generates suggestions by reusing aspects of previously visited URLs, incorporating factors like time spent, frequency, similarity, and user preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If URL autocomplete features base suggestions solely on browser history of previously visited websites, then the system maintains simplicity in implementation, but the system cannot provide suggestions for previously unknown hosts

Engineering Contradiction:

Improvecapability to suggest URLs for unknown hostsVSAvoidcomplexity of suggestion system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by recording user interactions with web resources (URLs, time spent, frequency) before a suggestion is needed. This pre-collected data is then used to generate suggestions for unknown hosts, allowing the system to adapt without requiring complex real-time analysis

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary mechanism that matches patterns from known hostnames to unknown hostnames. By using hostname pattern matching as an intermediary, the system can bridge the gap between historical data and new hosts without requiring direct visit history

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If the system records detailed usage details for all web resources, then the system can generate more accurate suggestions, but the system increases data storage requirements

Engineering Contradiction:

Improveprecision of usage trackingVSAvoidamount of stored data

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The system extracts only the most relevant features from web resource interactions (hostname patterns, URL structure, usage frequency, time spent) rather than storing complete browsing histories. This extraction approach maintains measurement precision while reducing the quantity of stored data to essential predictive features

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS9990341B2Predictive approach to URL determination

Publication Date: 2018.06.05 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Embodiments of the present invention provide methods, computer program products, and systems for suggesting uniform resource locators located at previously unknown hosts to users. Embodiments of the present invention can be used to record uniform resource locators (URLs) associated with web resources accessed by a user and usage details pertaining to the user's usage of the web resources. Responsive to receiving a request to access a hostname not stored in the recorded URLs, embodiments of the present invention can be used to receive URLs associated with web resources available at the hostname and assign weight values to the received URLs based, at least in part, on the usage details and a similarity between the received URLs and the recorded URLs. Embodiments of the present invention can then be used to generate a URL suggestion from the received URLs based, at least in part, on the assigned weight values.