Questions tagged [recommender-system]
Everything related to recommender systems
469 questions
6 votes
2 answers
114 views
What are some good resources to read about recommendation systems to help build your own?
I am working on a content-based recommendation system. I am planning to frame this as a binary classification problem (1 = click/0 = not click). And I was looking for paper/readings on feature ...
- 101
4 votes
0 answers
33 views
A selection of methods that can be used for recommender systems that predict click-through rate
I just had a rather unsuccessful interview with a major tech company, which started going wrong after I had presented (pretty well, I think) a particular kind of recommender system based on a neural ...
- 305
6 votes
1 answer
147 views
How to implement this simple recommender system in Keras?
I've been working in data science for a long time, but very rarely have I been called upon to implement an ML algorithm; I've just ran other people's libraries. I'm trying to pick up the skill. I'm ...
- 305
1 vote
0 answers
28 views
How does Youtube recommender face new videos?
I am trying to understand the paper of Youtube recommender: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45530.pdf However, in the candidate generation model, the ...
- 111
0 votes
0 answers
56 views
Spot similar users from their behavior on the website
I need to find the users with similar behavior on the website for personalized recommendations. I have a large database of users' actions on the website collected with Retentioneering. I need to ...
1 vote
1 answer
130 views
When Should a Classifier Be Preferred Over a Ranker in Recommendation or Search Ranking Systems?
I'm preparing for an ML system design interview and have a question about the choice of models in recommendation systems and similar domains like search ranking. When presenting several items to a ...
- 11
1 vote
0 answers
71 views
Content-Based Filtering for Internship Recommendations Without User Ratings—Is It Feasible?
I’m designing a recommendation feature for a student internship platform. Students will explicitly select their interests and skills during registration, and recruiters will post internship ...
- 11
1 vote
1 answer
74 views
Combine multiple embeddings to create a user representation
I’m building a recommendation system where each user interacts with sessions (topics with a title and description). I want to represent each user using their last 5 session interactions by creating a ...
- 111
1 vote
0 answers
31 views
Most reliable method for normalisation and popularity handling in item-item co-occurance?
In section 19.4 of https://animlbook.com/recommender_systems/recommendation/index.html co-occurance matrix is suggested and Jaccard similarity is one of the normalisation methods suggested. Other ...
- 35
0 votes
1 answer
62 views
Understanding the output of Google's wide and deep model?
I'm trying to implement Google's wide and deep model and I have a question about its output. According to the equation (3) in the paper: $$ P(Y=1|X) = \sigma(w_{wide}^T[x,\phi(x)] + w_{deep}^T a^{(l_f)...
- 103
0 votes
0 answers
38 views
Detect paterns over time in multivariate dataset
I have a dataset representing the stock of a shop over several days. For each day, I have hourly inventories of the objects in the shop. Some products are sold, and others might temporarily disappear (...
1 vote
0 answers
229 views
Recommendation System: Two-Tower Model Underperforming Simple Embedding Average Baseline
I'm trying to build a recommendation on a dataset of product purchases. The dataset consists of roughly 4 Amazon products that a particular user has bought (in sequence). I want to use the first 3 ...
- 11
1 vote
0 answers
26 views
Can equation from paper "Item-based Collaborative Filtering Recommendation Algorithms" be used for implicit feedback?
Article Item-based Collaborative Filtering Recommendation Algorithms by Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl gives this equation: $$P_{u,i} = \frac{\sum_{j}^S s_{i,j} * R_{u,j}...
- 21
1 vote
0 answers
48 views
How does implicit library calculates scores for items?
What method does implicit(python library) use to calculate scores when recommending items to users using the CosineRecommender model? I understood that it happens in the NearestNeighboursScorer class. ...
- 21
1 vote
0 answers
54 views
Does Factorization Machines accept continuous variables?
Most of the implementations I have seen of FM rely on an Embedding lookup matrix, restricting the variables that can be used to some categorical variable. Is there a way to use FM with both ...
