Gyeongeun Lee

Link to gitlab: https://gitlab.cluster.earlham.edu/senior-capstones-2020/krystal-capstone

In the past week, I worked on modifying my diagram and finished generating results. I also tried to draw meaningful insights from the validation results. After chatting with Xunfei, I finalized my poster and thought about elements to add to my paper.

In the past week, I finished the coding part of my project and did some validation work. I revised my diagram and worked on my paper and poster. Next week, I will be focusing more on my paper and poster.

I’ve mostly been working on making the poster and validating results. I found out that my original plan for validation would not work as nicely, so I will discuss with Xunfei to figure out what I can do. My diagram also needs to be tweaked.

I couldn’t do much due to comps, but collected all information from participants to conduct the validation process. I also ran their results on my software and recorded the results. This week, I will work on extracting relevant reviews from Sephora to evaluate the efficiency of my method.

In the past week, I mainly worked on implementing a simple interface for my program. I decided to take text inputs for skin type and beauty effects and use a button that returns the recommended products when clicked. To test my program, I collected more input data from participants. I will be using them in … Read more

In the past week, I worked to finish implementing non content-based filtering which recommends products based on the user’s skin type and desired beauty effects. I was able to apply the concept of TF-IDF to judge which ingredients are heavily related to each beauty effect. Now that all my methods are working, I will implement … Read more

In the past week, I worked on creating a survey to take inputs for content-based filtering, modified the skin type test questions, and obtained some responses. I also worked on implementing non-content-based filtering using TF-IDF which I am struggling with. I will be meeting with Xunfei on Thursday and try to finish this part as … Read more

My project aims to create a skincare product recommender system based on the user’s skin type and ingredient composition of a product. The main component of the project is content-based filtering and the secondary component is non content-based filtering. For content-based filtering, a user provides his or her skin type and selects a skincare product … Read more

In the past week, I found and fixed a bug for cosine similarity calculation in the code I was referencing. I was able to obtain more accurate recommendations across different product types. I also thought about and planned for next week’s task. 

In the past week, I worked on generating five recommendations from each of the the six product categories. I still have a confusion about the cosine similarity formula so I’m planning to meet with other faculties in the following week while keep working on the next task. Other than that, there wasn’t any obstacle and … Read more

In the past week, I worked on calculating the cosine similarity between the ingredient composition of an inputted item and that of the rest of the items in the data. I am struggling to decide on which formula to use for this, since the related project used the equation different from the “typical” formula used … Read more

I made a visualization (plot) displaying ingredient composition similarity between different products and skin types. I attached two drop-down options for users to select from product categories and skin types. I also attached labels to the graph so that it displays the product’s name, brand, price, and rank. 

In the past week, I loaded the data, extracted ingredients from products, and made a document-term matrix containing product names and ingredient composition. I plan to visualize ingredient similarity between products this week. I haven’t faced many obstacles yet, but I want to finish things earlier than planned to allow some time for future obstacles.

I just worked on my final paper this week. I met with Xunfei to ask questions about it.

This week, I worked on the similar project posted online. While working on it, I found some challenges in modifying the content-based data set to fit the collaborative-filtering method. I might end up modifying my project from a hybrid recommender to a content-based recommender. But I will keep looking for alternatives to make it possible.

This past week, I worked on mainly reading my new papers. I did a third pass reading on all my old papers and did at least second pass reading on the new ones. I tried finishing more than half of the existing project on python notebook and played with the data set. I now have … Read more

This week, I revised my diagram again and selected papers to use for my proposal. I read through all of them carefully and wrote an outline for my proposal. I discussed the details of my ideas with Xunfei, modified some, and finished writing the proposal.

After meeting with Xunfei, I decided to modify my diagram a bit so I redesigned it from my practice proposal. I also collected more papers that could be used in my proposal and read more articles and research papers. I also found an online tutorial of a project that is closely related to mine, so … Read more

This week, I changed my method from hybrid to content-based filtering because there isn’t much research done in the hybrid method. So I chose to improve the content-based filtering instead. I also wrote my proposal outline and revised my diagram with the help of Xunfei. I might explore more ways to improve the existing method … Read more

This week, I mainly worked on reviewing my papers carefully and summarizing them for the literature review. I also met and talked with Xunfei about my proposal idea and came up with a preliminary idea. I will have to work more to develop it.

In the past week, I searched and skimmed lots of papers to use for my own research. I also talked with Dave and Xunfei to refine my ideas. I also found a data scraping software to extract product information from Sephora.

In the past week, I explored different ideas, talked to the faculty, and found more papers to read. I found lots of interesting paper related to my personalized skin care product recommendation idea. I found out that using content-based filtering to recommend products might be helpful, and I could modify the algorithm to have better … Read more

This week, I did a first pass reading for a total of 6 papers and visited the writing center for the annotated bibliography. Some of them turned out to be less relevant to the topic than they had appeared, but they were mostly useful and interesting. For one of my journals, the authors introduced the … Read more

I further developed my ideas and added more details to each of them. Then I talked to Xunfei about modifications and got more suggestions from her. We looked through the research paper I found on Google Scholars together and searched for related articles. After the meeting, I went back to find some more articles. I … Read more

1. My first idea stays the same, but Xunfei recommended me to enable rating and commenting under each product to make the app a bit more interactive & informative. I will order recommendations for different skin types by star ratings. I am also thinking to include filtering by content, price, etc. 2. My second idea … Read more

Name of Your Project Skip&Skin What research topic/question your project is going to address? One product can’t fit all. From beauty to skin care, people are thrown a bunch of products that are said to be popular or effective in enhancing complexion. However, each individual is so different from another that they need to do … Read more