CSE 255 Assignment 2 : Upvotes Prediction for Reddit Submissions

CSE 255 Assignment 1 : Movie Rating Prediction using the MovieLens dataset

CSE 190 Matthew

The dataset to be analyzed is the dataset of Reddit submissions suggested in lecture. (http://snap.stanford.edu/data/webReddit.html). In this dataset, there are 132,308 entries for analysis. Of these entries, however, there are only 16,736 unique images, and on average, each was resubmitted approximately 7.9 times. The timespan across which these Reddit submissions were made is July 2008 to Jan...

CSE 255 Assignment 2 Cuisine Prediction/Classification based on ingredients

In this paper, we consider different strategies for identifying the cuisine, given its ingredients. This project aims to explore what combination of ingredients is helpful in identifying a cuisine if the recipe is not given. This has been tackled as a problem of cuisine classification. We also explore different classification algorithms in tandem with approaches like taking combination of multi...

Giving Gold: Understanding Appreciation in Reddit Communities

In the social media age, our actions are constantly evaluated by other users, many of whom are strangers. While anonymous users are often associated with adversarial behaviors, such as scamming and trolling, they are also capable of positive interactions. Community appreciation, a positive public evaluation of an individual’s content within a community, is found in nearly every social network; ...

CSE 255: Assignment 1 - Exploring Musical Tagging

We explore two predictive tasks: (i) a measure of tag probability, and (ii) identifying a minimum tag set for more meaningful music classification on a 100,000 song dataset joined across complementary databases from the 1 Million Song Dataset (“MSD”). We conclude that a tag set size of around 50 tags is most meaningful and report many of our findings/analysis based on the top 50 tags. Using lin...