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Highlighting missing information or non-ideal web experiences via hyperlink chain analysis Disclosure Number: IPCOM000236210D
Publication Date: 2014-Apr-11
Document File: 3 page(s) / 62K

Publishing Venue

The Prior Art Database


Providing the best user experience for web users is a chief concern for all web developers. Whilst there have been many technologies developed in the field of user experience relating to individual web pages, user experience of a set of websites as a whole should also be key. It is important to determine if different users are getting stuck at different points within a set of websites and identifying sets of circumstances under which users choose to leave a web developer's particular domain. This data can be used to identify changes to a set of web pages, particularly those relating to sets of instructions or user guides, to optimise a user's experience.

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Highlighting missing information or non-ideal web experiences via hyperlink chain analysis

Disclosed is a crowdsourcing system that gathers data about users visiting sets of

web sites within a single domain and highlights a poor user experience to the web

developer when it detects a related search term being used to the one that originally brought the user to that particular domain. If a similar set of websites traversed under similar search terms induce a further similar search by multiple users, this demonstrates that users have either not found what they are looking for or getting stuck and looking to other sources for help. The system can then make a recommendation that changes be made to a developer's set of websites or documents either by highlighting the fact that users cannot navigate to an important section of your web site easily or any entirely missing information so that the application owner can provide what users wish to view.

The disclosed system analyses the experiences of every visit to a section of a

website or an internal document in order to determine what information may be

missing. The system monitors previous experiences by users, namely a store of

what they searched to get to a particular document and the chain of websites they

visited under a particular domain. Data is stored regarding associated and related searches and links to other websites at certain points in the hyperlink chain to determine either a user struggling to comprehend or understand what to do or giving up entirely and moving on to an alternative source. By using chains of websites instead of individual ones, the system is able to differentiate different types of users looking for different information. For instance, those new to the topic will be clicking on various pages in a structural manner. Those looking for a simple reference are likely to have a shorter hyperlink chain as they know exactly what they are looking for.

    The resulting key feature of this disclosed system is the ability to organise a particular website more effectively. Analysis of a user's behaviour in the case of a new search after they visit a particular domain and then returning to that same domain indicates that a new hyperlink between those two web pages should be present, though this can be applied to a web page, complex application such as an email client or other set of instructions.

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1. Here starts the chain, or set of clicked hyperlinks, that a user will proceed through on an application
2. The system checks if they searched...