Evaluating collaborative filtering content recommenders for mobile phones

Master Thesis

2007

Permanent link to this Item
http://hdl.handle.net/11427/5124
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thesis_ebe_2007_piyasena_iwg (1).pdf (3.47 MB)
Authors
Piyasena, Indika Weliwe Gamage
Supervisors
Chan, H Anthony
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University of Cape Town

Department
Department of Electrical Engineering
Faculty
Faculty of Engineering and the Built Environment
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Abstract
The high adoption of mobile phones coupled with 3G technology can extend Internet access to new communities. Yet such access is currently impractical because mobile phone interfaces are cumbersome to use. In addition, hierarchical menus and search engines pose an interaction barrier to the unfamiliar. A content recommender is proposed to address these issues. Collaborative filtering is a technique developed to make predictions on unobserved items based on the preferences of similar users. User-based collaborative filtering has been identified as a simple, yet reasonably accurate scheme. An evaluation is conducted into how quickly this algorithm can identify preferred content based on user-content interactions.
Description

Includes bibliographical references (leaves 64-67).

Keywords
Electrical Engineering

Reference:

Piyasena, I. 2007. Evaluating collaborative filtering content recommenders for mobile phones. University of Cape Town.

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