Questions tagged [recommender-system]
For questions related to recommender systems in the context of machine learning and data mining.
16
questions
1
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0answers
7 views
Anyone familiar with Bilateral Recommendation System? And suggest any related papers?
I'm working on Bilateral Recommendation System. But not able to find much related papers. Could anyone suggest any papers relative?
Thanks
2
votes
0answers
55 views
Which machine learning algorithms can be used to build a recommendation system?
I am working on building a recommendation engine. I need to build a model that recommends similar items. Currently, I am using the Nearest Neighbor algorithm present in ...
2
votes
1answer
52 views
What is the best way to find the similarities between two text documents?
I would like to develop a platform in which people will write text and upload images. I am going to use Google API to classify the text and extract from the image all kinds of metadata. In the end, I ...
1
vote
0answers
8 views
Mobile App Recommendation: How to get the rate of a specific user submit for a specific application
I have a mobile app recommendation project, so I need data set which has user-app matrix-rate. Actually, I want to know what rate does a specific user submit for a specific application. in other words,...
1
vote
0answers
9 views
Reducing the Number of Training Samples for collaborative filtering in recommender systems
I have the following problem: I am doing some research on the accuracy of recommender algorithms that are mostly used nowadays.
So, one way to measure their performance is by checking how well they ...
1
vote
2answers
178 views
How do I plot a matrix of ratings?
I have a .csv file called ratings.csv with the following structure:
...
1
vote
1answer
100 views
Which model is better given their training and validation errors?
Below you have the plots of the training and validation errors for two different models. Both plots show the RMSE values for the validation dataset versus the number of training epochs. It is observed ...
1
vote
0answers
14 views
Estimating Baselines using ALS
I am trying to figure out how ALS works when minimizing the following formula:
$\\ \\$
$\text{min}_{\lbrace b_u,b_i \rbrace} \sum_{(u,i)\in \mathcal{K}} (r_{ui} - \bar{r} - b_u - b_i )^2 + \lambda_{...
5
votes
1answer
80 views
Cold start collaborative filtering with NLP
I’m looking to match two pieces of text - e.g. IMDb movie descriptions and each person’s description of the type of movies they like. I have an existing set of ~5000 matches between the two. I ...
2
votes
1answer
95 views
When is content-based more appropriate than collaborative filtering?
I know the difference between content-based and collaborative filtering approach in recommender systems. I also know some of the articles said collaborative filtering have some advantages than content-...
1
vote
1answer
51 views
Learning similarities between customers and offers representation
I am interested in a framework for learning the similarity of different input representations based on some common context. I have looked into word2vec, SVD and siamese networks, all of which are ...
2
votes
1answer
72 views
What are some limitations of using Collaborative Deep learning for Recommender systems?
Recently I worked on a paper by Hao Wang, Collaborative Deep learning for Recommender Systems; which uses a two way tightly coupled method, Collaborative filtering for Item correlation and Stacked ...
1
vote
0answers
48 views
How do stacked denoising autoencoders work
I've been studying a recommender system which uses a collaborative deep learning approach and Bayesian learning. It has the following NN representation :
I need to know the working of stacked ...
0
votes
1answer
37 views
Recommendation system based on content type
I am new to this field and would like to know that for what kind of data types other than images, recommendation system can be created using machine learning. Suppose for contents like audio or video, ...
-2
votes
1answer
44 views
Over-exposure of certain items in content based recommendation engine
I'm working on a content based recommendation engine for ebooks. I create document vectors with 300 features for every ebook using a word2vec model trained on google news and determine recommendations ...
5
votes
1answer
212 views
How do recommendation systems work?
How do recommendation systems (e.g. on Youtube) work? Apparently, every user gets different recommendations depending on his location, his past liked videos, etc. So it would seem like a training ...
