Proceedings ArticleDOI
Capturing, understanding and interpreting user interactions with the browser as implicit interest indicators
Saniya Zahoor,Digvijaysingh Rajput,Mangesh Bedekar,Pranali Kosamkar +3 more
- pp 1-6
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TLDR
The relative ordering of various user interest indicators are given that will help to build the user profile implicitly which will help in recommending relevant information to the user with high accuracy and confidence.Abstract:
Understanding the user and his interests is one of the major research areas towards understanding the web today. Many systems and approaches have been proposed in literature, to try and get information about the user's interests by user profiling. Various interest indicators have also been proposed in literature that helped in giving the relevant information about the user and his interests. Having the maximum number of interest indicators and ordering them according to their preferences will make a difference in providing the more relevant information to the user. In this paper we give the relative ordering of various user interest indicators that will help us to build the user profile implicitly which will help in recommending relevant information to the user with high accuracy and confidence.read more
Citations
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Book ChapterDOI
Towards Reading Session-Based Indicators in Educational Reading Analytics
TL;DR: In this article, the authors propose a server-side approach to support course authors during courses revision by providing them with reading indicators, such as reading sessions and associated reading indicators. But they do not consider the impact of course reengineering.
Book ChapterDOI
A Framework to Infer Webpage Relevancy for a User
TL;DR: This work aims to create user profiles automatically and implicitly depending on the various web pages a user browses over a period of time and the user's interaction with them, which indicates relevancy of web pages to the user based on these weights.
Journal ArticleDOI
Revisiting Interest Indicators Derived from Web Reading Behavior for Implicit User Modeling
TL;DR: A framework for analyzing user interactions with the browser relying on latest web technologies, the implicit interest indicators identified, and the results of an online study on web reading behavior as a basis for derivation of interest are described, which suggest a possible base structure for user models relying on reading behavior.
Towards Reading Session-based indicators in Educational Reading
TL;DR: This work uses the concept of reading session to denote a learner’s active reading period, and provides several associated reading indicators which are calculated using web server logs.
References
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