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Questions tagged [recommendation-systems]

Questions about techniques that infer valid or preferred options from existing data with the goal to make helpful suggestions automatically.

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Recommender system - Binary rating adding a condition

I want to implement a recommender system based on collaborative filtering. Each user will have a set of visualized items (0-1's) and based on that similitude the recommendation will be generated. In ...
mcal's user avatar
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1 answer
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Is recomnder systems part of computer science?

I want to work on a paper with one of my friends in Recommender systems. My field is programming, and I favourite part is to be more technical. I want to know that, is field of Recommender systems a ...
Reza Akraminejad's user avatar
2 votes
3 answers
365 views

Algorithm for ensuring that each element ends up in its specified range when composing a list

I am designing a feature recommendation system and I have encountered an algorithmic problem and I am wondering if any of you know if there are known algorithms to solve this type of issue. In our ...
novy1234's user avatar
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How to make sure matrix completion can generate a matrix with values in expected range?

I am doing a matrix completion project. Assume that I have an incomplete matrix like ...
Lizhi Liu's user avatar
2 votes
1 answer
368 views

Is Weighted Averages the Best Method to Aggregate Information?

I'm working on a recommendation system. My system uses user's past rating data, to predict future ratings. I designed mathematical methods for generating recommendation algorithms that allows me to ...
Tobi Alafin's user avatar
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2 votes
1 answer
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Is Supervised Learning Better than Unsupervised Learning (For Recommendation Systems)

I am working on a Recommendation System as a personal project (I finish it on time, I'll present it as my final year project). I devised mathematical methods that estimated User's ratings of products ...
Tobi Alafin's user avatar
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1 vote
0 answers
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What are useful/new areas to work on for recommendation systems? [closed]

I am working on a project on recommendation systems, and would like to know about specific areas/research papers on which some new work can be performed, but not something too time/coding intensive. ...
user3676846's user avatar
1 vote
1 answer
577 views

How to compare two objects for percentage of equivalence

I'm trying to create a nodeJS application. It allows users to rate a bunch of songs and it stores them in their user profiles. I use this information to compare them to other users, and try to find ...
Rockstar5645's user avatar
1 vote
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Reasoning approaches for implementing a Knowledge-based System?

What are the major approaches in implementing a Knowledge-based System (KBS)? Approaches used to take decisions in a KBS that I have come across so far are the case-based and rule-based reasoning ...
NurShomik's user avatar
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2 votes
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323 views

How regression is used in item-based collaborative filtering?

In the paper "Item-Based Collaborative Filtering Recommendation Algorithms" In section 3.2.2 about regression, it is said the the user's actual rating of item N (Ru,n), is replaced with an estimate ...
soheildb's user avatar
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1 vote
2 answers
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Relative Importance in Graph Theory [closed]

I am working on an algorithm that ranks a set of nodes in a graph with respect to how relative this node is to other predefined nodes (I call them query nodes). The way how the algorithm works is ...
user1894963's user avatar
2 votes
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Baseline approaches for likes prediction

I have a small user-item matrix (25k x 1.8k) describing how users liked or disliked some of the items. Users don't have any attributes but items have several features. I would like to be able to ...
maksay's user avatar
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2 votes
1 answer
689 views

top-N recommendation in collaborative filtering

I have started to read about user-based and item-based collaborative filtering techniques. I understand how a rating of the target user for a particular item is predicted. How top-N recommendation ...
rrpp's user avatar
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3 votes
2 answers
113 views

Physical Meaning Behind Matrix Factorization

As we all know, Matrix Factorization is an effective method to do rating prediction jobs in recommender systems. Thanks to the work of Yahuda Koren. My question is why MF can do this job? What's the ...
Chelsea Wang's user avatar
4 votes
2 answers
2k views

How to evaluate recommendation engine without ground truth?

I have developed an algorithm which recommends geographical locations to users based on popular trends and their own interests. The dataset is created by my organization. So the user selects a few ...
krammer's user avatar
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4 votes
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356 views

Recommendation algorithms based on a set of attributes

I'm building an application which should suggest products for the users. I want to base my recommendation on different attributes, like location, weather, date, etc. Each of these attributes can have ...
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15 votes
4 answers
4k views

How to devise an algorithm that suggests feasible cooking recipes?

I once had a veteran in my course that created an algorithm that would suggest cooking recipes. At first, all sort of crazy recipes would come out. Then, she would train the cooking algorithm with ...
Oeufcoque Penteano's user avatar