Acknowledgement I want to thank my supervisors, Dr. T. M. van der Geest and Dr. ir. P. W. de Vries for their kind support, input and guidance throughout the duration of this work. I am grateful to all my family and friends who have supported and encouraged me throughout this time. I also want to thank my wonderful wife for all her encouragement and sacrifice and lastly I would like to thank God...

Firms typically use query-based search to help consumers find information/products on their websites. We consider the problem of optimally ranking a set of results shown in response to a query. We propose a personalized ranking mechanism based on a user’s search and click history. Our machine learning framework consists of three modules – (a) Feature generation, (b) NDCG-based LambdaMART algori...

Competitive, open and global markets render the consumer more demanding towards manufacturers’ offers. In the past, firms could be competitive by providing value in quality, price and quick delivery. In the new economy, with the coming of e-business, the personalization of products becomes a key competitive factor. Manufacturers need to develop capabilities to fulfill these personalization need...

Personalization customizes information access. The PIPE (‘Personalization is Partial Evaluation’) modeling methodology represents interaction with an information space as a program. The program is then specialized to a user’s known interests or information seeking activity by the technique of partial evaluation. In this paper, we elaborate PIPE by considering requirements analysis in the person...

0957-4174/$ see front matter 2012 Elsevier Ltd. A doi:10.1016/j.eswa.2012.02.042 ⇑ Corresponding author. Tel.: +358 40 5301032; fax E-mail addresses: [email protected] (A. Sunik (J. Bragge). 1 Present address: Aalto University IT, PO Box 1110, +358 50 5752989; fax: +358 9 464788. Personalization and customization have numerous definitions that are sometimes used interchangeably in the liter...

We present a review of research studies that deal with personalization and synthesize current knowledge about these areas. We identify issues that we envision will be of interest to researchers working in the management sciences, taking an interdisciplinary approach that spans the areas of economics, marketing, information technology (IT), and operations research. We present a framework for per...