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COMP-500 Research Seminars and Methodology

Instructor: Dr. Athena Stassopoulou

Literature Review Assignment

Review due date: 1 May, 2017.

Selection of topic/area/theme of review by: 20 March, 2017.

Submission instructions: Submit via moodle.

You are asked to write a Literature Review on a specific topic within one area of a Computer

Science specialization that you are interested in (see example below on topic/CS area). Your

review will be written in the form of a research paper according to the IEEE conference style

format which can be found in:

http://www.ieee.org/conferences_events/conferences/publishing/templates.html for Word and

Latex.

The paper should be a minimum of 5 pages in the above format. (Latex is strongly

recommended).

Instructions and advice:

1) Identify an area of specialization that you are interested in. Scan through all available

sources to identify interesting, current research on a specific topic within the area. Students

opting for the thesis option for their MSc, can use this literature survey to perform

introductory-background work for their thesis.

2) After you have done some initial investigation, consult with a faculty member, who

specializes in the area you are interested in. (If you do not know who to consult for a

specific specialization/topic, ask me and I will advise you on who to contact).

3) With the help of the faculty member, you will clearly identify the topic and title of your

review, as well as 3-4 relevant, recent journal or conference papers from where start.

4) Once you finalize the topic and theme of your review, submit them to me by March, 20 (as

stated above), in order to have the review proposal approved.

5) Your review must include at least 8-10 papers published in refereed journals and

conferences.

6) Your review should be organized thematically (see slides on Writing Research Papers,

section on Literature Review). You do not report on each paper you read one by one. Your

review is not a summary of studies, but a synthesis of information which requires comparing

COMP-500 Research Seminars and Methodology

Instructor: Dr. Athena Stassopoulou

themes, methods and conclusions among the different works. A good way of keeping track

of all this work and organizing your review is with the use of a synthesis matrix (literature

review matrix).

An example of such a matrix is shown below. This matrix is taken from the survey paper:

“Toward the Next Generation of Recommender Systems: A survey of the state-of-the-art and

possible extensions”, by G. Adomavicius in IEEE Transactions on Knowledge and Data

Engineering, 17 (6), 2005. (I uploaded it on moodle).

COMP-500 Research Seminars and Methodology

Instructor: Dr. Athena Stassopoulou

This survey is on Recommender Systems, which is a topic of Machine Learning (and Data

Mining) which falls under the general area of Artificial Intelligence. The matrix shows how

Recommender Systems can be categorized as: 1) content-based, collaborative or hybrid, based

on the recommender approach used (rows) and 2) heuristic-based or model-based, based on the

types of recommendation techniques used for the rating estimation (columns).

On moodle you will also find another two survey papers. I strongly recommend that you go

through these survey papers to get an idea of the structure of literature surveys and how they are

organized (they also include literature matrices).