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Match Algorithm and Inputs

SoCal CTO

One of the common questions that I commonly get is: Tony, what inputs should we use as the basis for our matching algorithm? The people asking the above question don’t have that research and they also don’t really know how the matches should occur. How should the resulting algorithm use those inputs to form matches?

Algorithm 170
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Generative AI – The End of Empty Textboxes

TechEmpower

We recently completed a web-based application that uses a unique algorithm to match professionals with new career opportunities. Applying that solution to our job matching site made perfect sense. Profile Blurbs and Writing Prompts Let’s look at our job matching site in more detail.

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Matching Algorithm

SoCal CTO

Because I was the Acting CTO for eHarmony at it's start, I quite often get introduced to people who have an idea for a startup company that is based on some kind of matching algorithm. Each of these startup ideas has at it's core a matching algorithm that reduces the friction between a consumer and some need.

Algorithm 196
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5 Ways to Prevent Downtime in Your Manufacturing Business

The Startup Magazine

It’s essential to choose a generator that matches your power needs and to conduct regular tests to ensure it’s ready to kick in when needed. Many parameters may be monitored by technologies like machine learning algorithms and the Internet of Things (IoT).

Analytics 112
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How to Start SEO Audit For a New Website

The Startup Magazine

Search engines are always changing their algorithms to match new search patterns. Conducting a regular SEO audit is a way to ensure that your online strategy continues to be successful despite changing algorithms by search engines. SEO is constantly evolving. This is what necessitates the SEO audit. What is the SEO Audit?

SEO 166
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How Humans and Everyday Tech Can Outmatch AI

YoungUpstarts

There’s an increasing awareness that machine-learning algorithms encode biases and discrimination into outcomes. After all, algorithms simply look for patterns in the data. Whatever is embedded in the data is what the algorithms will repeat. Neural nets require far too much data to match human intellects.

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Requests for Startups in 2024

VC Cafe

AI to make IRL matches – What if you could chat with a bot that learns about you on a deeper level and uses this information to make a curated set of matches? Auto-optimization across products – Many consumers are “overpaying” for their debt, insurance, and bills, AI agents can take over this process.