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Week 23: Revising the Paper

Finishing off my sections from last week, I was done writing. I spent the most of the week grammars checking the overall paper. Wanting to write some more information on the machine learning part of the project, I ended up reading some papers on different types of ranking.

Sources
“Learning to rank.” Learning to rank - RLScore 0.7 documentation, staff.cs.utu.fi/~aatapa/software/RLScore/tutorial_ranking.html#learning-to-rank.

Li H. (2011) A short introduction to learning to rank. IEICE Trans. Inf. Syst. , 94, 1854–1862
Liu, Tie-Yan. "Learning to rank for information retrieval." Foundations and Trends® in Information Retrieval 3, no. 3 (2009): 225-331.

Week 22: Writing the Paper

For this week, we had to make a great push for writing the paper. I assigned the following sections to everyone on the team.
By the end, I completed the Introduction and the Methodology sections.
Diana   Introduction ( ~ 3 pages)
  Methodology — Online Survey ( ~ 3 page )
  Methodology — Design and Implementation - The Server ( ~ 4 pages)   Abstract   Executive Summary
Goutham  Background — Intuitiveness of UI ( ~ 3 pages)  Methodology — Design and Implementation - The Client ( ~ 7 pages)
Zarni  Background — Related Work ( ~ 3 pages )  Evaluation — Online Survey ( ~ 4 pages)  Conclusion ( ~ 3 pages)
Malika  Methodology - Goal & Overview ( ~ 5 pages)  Methodology - Interview ( ~ 2 pages)
 Evaluation - Interview  ( ~ 3 pages)

Week 21: Preparing for Paper

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This week consisted mostly of preparations for the paper. Taking the advice of the faculty advisor, I updated the paper outline to fit the appropriate structure and delegated subsections of the paper to my teammates and myself. Since our first draft of the paper is due in about two weeks, I decided that for the upcoming week everyone writes about 7 pages, and finishes the other 3 pages for the following week.

Getting a head start, I made progress writing the first 2 pages of the paper-- the introduction section.

Furthermore, with categorical attributes, our number of attributes skyrocketed. Such that, the screen displaying attributes and their weights was overtaken with numbers and words. However, I fixed it so that only the attributes displayed were important to the overall outcome of the ranking

Before:



After:


There were also a couple of bugs that resulted in the server crashing when the name of an item did not follow convention. That has been fixed as well.


A slightly older version…

Week 20: Starting Paper and Fixing Frontend

For last week I was in charge of preparing my group to start the user study and writing our research paper.

For the user study, following the IRB form questions, I completed a google forms (so that we could start surveying as soon as we were done with the meeting with the professor). Furthermore, I started working on writing out an outline.

Single Spaces: about 9 - 10 pages each Abstract Executive Summary Introduction Ranking Definition Rankings enable the proceassing of large multifaceted data to synthesize a representation of reality, allowing individuals to weigh and observe in clearer detail the choices they are faced with. Importance Employed in everyday life and decision making: website search, picking out a place to eat, deciding on the best college Rankings are based on certain attributes. Each attribute can have a higher weight/contribution to the overall ranking. Available online rankings may hide which attribute are considered, fuzzing the meaning of the rankings.     It is importa…