# How do matchmaking algorithms work

### Index

- How does the match algorithm work?
- Do dating sites use algorithms to match you?
- How does the algorithm work?
- How does augmenting path matching work?
- What are matching algorithms?
- How does the algorithm work?
- What is the difference between sourcing and matching algorithms?
- What is the most preferred choice for the matching process?
- What is an algorithm?
- What is an algorithm in social media?
- How does the YouTube algorithm work?
- How does Instagram’s algorithm work?
- What are augmenting paths with respect to matching?
- What is an augmenting path in a graph?
- How to turn a matching into a larger matching?
- Do augmented paths increase or decrease edge flow?

### How does the match algorithm work?

The Match Algorithm compares applicant and program ROLs and matches applicants to programs based on both parties’ stated preferences: ROLs submitted by applicants indicate a list of programs where they wish to train ranked in their order of preference.

### Do dating sites use algorithms to match you?

Algorithms are used to show you matches and populate search results. It’s safe to say they are very intricate and complicated. Dating sites keep their algorithms under lock and key, but it’s no secret they do use algorithms to match you up.

### How does the algorithm work?

The algorithm is applicant-proposing, meaning it starts with an attempt to place an applicant into his or her most preferred program. In this way, the algorithm provides applicants with their best possible outcome based on the ROL submitted.

### How does augmenting path matching work?

If the search finds an augmenting path, the matching gains one more edge. Once the matching is updated, the algorithm continues and searches again for a new augmenting path. If the search is unsuccessful, the algorithm terminates as the current matching must be the largest-size matching possible.

### What are matching algorithms?

Relevant For... Matching algorithms are algorithms used to solve graph matching problems in graph theory. A matching problem arises when a set of edges must be drawn that do not share any vertices. Graph matching problems are very common in daily activities.

### How does the algorithm work?

The algorithm is applicant-proposing, meaning it starts with an attempt to place an applicant into his or her most preferred program. In this way, the algorithm provides applicants with their best possible outcome based on the ROL submitted.

### What is the difference between sourcing and matching algorithms?

Then the candidate can go on to apply to the jobs that matched him. Matching algorithms can double up as sourcing algorithms as well. On one hand, they can provide job recommendations to applicants and on the other hand, they can send matched applicants to the companies they match with.

### What is the most preferred choice for the matching process?

During the matching process, an applicant is placed into the most preferred program that ranks the applicant and does not fill all its positions with more preferred applicants. Therefore, rank #1 should be the applicant’s most preferred choice. Applicants Davis, Eastman, and Garcia have interviewed at the same programs.

### What’s an Algorithm? The word ‘algorithm’ has an etymology similar to ‘algebra,’ except that this refers to the Arabic mathematician himself, al-Khwarizmi (just an interesting tidbit). An algorithm, for the non-programmers among us, is a set of instructions that take an input, A, and provide an output, B, that changes the data involved in some way.

What is an algorithm in social media?

### What are augmenting paths with respect to matching?

Before we can talk about what augmenting paths are with respect to matchings, we need a few definitions. A matching is a subset of the edges of a graph such that no two edges in share a common vertex. If has the largest size amongst all matchings in , then we call a maximum matching.

### What is an augmenting path in a graph?

An augmenting path is a simple path - a path that does not contain cycles - through the graph using only edges with positive capacity from the source to the sink. So the statement above is somehow obvious - if you can not find a path from the source to the sink that only uses positive capacity edges, then the flow can not be increased.

### How to turn a matching into a larger matching?

We can use an augmenting path to turn a matching into a larger matching by taking the symmetric difference of with the edges of . In other words, we remove edges from which are in both and . We add/keep all other edges. We can best illustrate this by an example: The augmenting path we used is shown below:

### Do augmented paths increase or decrease edge flow?

This brings up an important point related to augmenting paths. Although an augmenting path increases the overall flow, it can not only increase the flow on an edge; it can also decrease it. It can be easy to think that since an augmenting path augments the flow, it’s only increasing edge flows.