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Contextual Query Understanding
From The Noisy Channel

Contextual Query Understanding

So far, we’ve focused on understanding searchers based entirely on the words they type into the search box. But search doesn’t occur in a vacuum. In the next posts...

10 Things Everyone Should Know About Machine Learning
From The Noisy Channel

10 Things Everyone Should Know About Machine Learning

As someone who often finds himself explaining machine learning to non-experts, I offer the following list as a public service announcement. Machine learning means...

Autocomplete and User Experience
From The Noisy Channel

Autocomplete and User Experience

The previous post focused on how to determine the best autocomplete suggestions based on query probability and query performance. In this post, we’ll dive intoscope...

You’re absolutely right about the number of suggestions, of course.
From The Noisy Channel

You’re absolutely right about the number of suggestions, of course.

You’re absolutely right about the number of suggestions, of course. And it’s a good reminder that autocomplete user experience deserves its own post, which I promise...

Autocomplete
From The Noisy Channel

Autocomplete

In the past decade, autocomplete has become a required feature for search engines. Today, searchers who type into a search box expect to see autocomplete suggestions...

I agree with the judge about the balance of hardships, but that in itself wouldn’t have been…
From The Noisy Channel

I agree with the judge about the balance of hardships, but that in itself wouldn’t have been…

I agree with the judge about the balance of hardships, but that in itself wouldn’t have been sufficient to grant the injunction. The judge also ruled that “hiQ...

On hiQ v. LinkedIn
From The Noisy Channel

On hiQ v. LinkedIn

On August 14th, US District Judge Edward M. Chen granted a preliminary injunction to hiQ Labs in its case against LinkedIn. While I agree with part of the judge...

Here are a couple of relevant papers:
From The Noisy Channel

Here are a couple of relevant papers:

Here are a couple of relevant papers: Scaling Semantic Parsers with On-the-Fly Ontology Matching Ontology-Based Translation of Natural Language Queries to SPARQL...

Taxonomies and Ontologies
From The Noisy Channel

Taxonomies and Ontologies

In order to understand queries, it’s important to ground that understanding in a knowledge base. Two common ways to represent a knowledge base are taxonomies and...

Prithiviraj, thanks for the kind words.
From The Noisy Channel

Prithiviraj, thanks for the kind words.

Prithiviraj, thanks for the kind words. As for NER systems for English text only recognizing named entities in title case, that’s usually a function of how they...

Entity Recognition
From The Noisy Channel

Entity Recognition

In the previous post on query scoping, we discussed query tagging as a special case of named-entity recognition (NER). In this post, we’ll dive a little bit deeper...

Query Scoping
From The Noisy Channel

Query Scoping

In the previous post, we discussed how query segmentation improves precision by grouping query words into semantic units. In this post, we’ll discuss query scoping...

Thanks Bart. I haven’t read it, but I’ll take a look. Thanks for sharing.
From The Noisy Channel

Thanks Bart. I haven’t read it, but I’ll take a look. Thanks for sharing.

Thanks Bart. I haven’t read it, but I’ll take a look. Thanks for sharing.

Query Segmentation
From The Noisy Channel

Query Segmentation

The previous two posts focused on using query rewriting to increase recall. We can also use query rewriting to increase precision — that is, to reduce the number...

A Non-Adversarial Ad-Supported Model
From The Noisy Channel

A Non-Adversarial Ad-Supported Model

If you’ve followed me for a while, you know that I’m not a big fan of ad-supported business models. It’s not just that I find ads annoying; I also see them as economically...

Thanks for the kind words!
From The Noisy Channel

Thanks for the kind words!

Thanks for the kind words!Stack Overflow and Quora certainly have reputation systems, and I love both sites. But I don’t feel either of them is focusing on being...

How could LinkedIn be disrupted?
From The Noisy Channel

How could LinkedIn be disrupted?

When I worked at LinkedIn, I focused on its mission of “connecting talent to opportunity at a massive scale”. Or, as I preferred to describe it, helping people...

Thanks for the kind words and for the heads up on the broken link, which I’ve now fixed.
From The Noisy Channel

Thanks for the kind words and for the heads up on the broken link, which I’ve now fixed.

Thanks for the kind words and for the heads up on the broken link, which I’ve now fixed. And good point about polo — a good reminder generally that all language...

Query Relaxation
From The Noisy Channel

Query Relaxation

In the previous post, we discussed query expansion as a way to increase recall. In this post we’ll discuss the other major technique for increasing recall: query...

I recognize that my participation in the gig economy is hardly representative of most people’s…
From The Noisy Channel

I recognize that my participation in the gig economy is hardly representative of most people’s…

I recognize that my participation in the gig economy is hardly representative of most people’s experience. Indeed, I wrote a post about “The Hook-Up Economy” (https...
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