ABOUT SEARCHING AND SEARCH PRACTICIES

437 bookmarks
Custom sorting
Facet Search: The Most Comprehensive Guide. Best Practices, Design Patterns, Hidden Caveats, And Workarounds.
Facet Search: The Most Comprehensive Guide. Best Practices, Design Patterns, Hidden Caveats, And Workarounds.
In this article, I structured the main concepts, best-practices, design recommendations, interaction patterns and visual design considerations for the faceted search. I believe this work covers every aspect of the facet search UI: everything you need to know to create facet search component from scratch or using the ready building blocks from the SAP Commerce Cloud out-of-the-box search module. At the end of the article you will find a summary explaining what features are implemented in the default SAP Commerce Cloud Accelerators; for those which are not implemented, you will find my ballpark estimations of the efforts needed.
·hybrismart.com·
Facet Search: The Most Comprehensive Guide. Best Practices, Design Patterns, Hidden Caveats, And Workarounds.
How to Develop Word Embeddings in Python with Gensim - MachineLearningMastery.com
How to Develop Word Embeddings in Python with Gensim - MachineLearningMastery.com
Word embeddings are a modern approach for representing text in natural language processing. Word embedding algorithms like word2vec and GloVe are key to the state-of-the-art results achieved by neural network models on natural language processing problems like machine translation. In this tutorial, you will discover how to train and load word embedding models for natural language processing applications in Python using Gensim. After
·machinelearningmastery.com·
How to Develop Word Embeddings in Python with Gensim - MachineLearningMastery.com
Daniel Tunkelang – Medium
Daniel Tunkelang – Medium
Read writing from Daniel Tunkelang on Medium. High-Class Consultant. Every day, Daniel Tunkelang and thousands of other voices read, write, and share important stories on Medium.
·medium.com·
Daniel Tunkelang – Medium
Broad and Ambiguous Search Queries
Broad and Ambiguous Search Queries
For many search queries, it’s sufficient to rank a set of matching results. But broad and ambiguous queries require a more complex approach.
·medium.com·
Broad and Ambiguous Search Queries
Coffee, Coffee, Coffee!
Coffee, Coffee, Coffee!
This scene from Moscow on the Hudson is a parable about information overload in the search experience.
·medium.com·
Coffee, Coffee, Coffee!
Evaluating Search: Measure It
Evaluating Search: Measure It
Many of us work on improving search experience. But how do we define improvement? As Lord Kelvin, one of history’s greatest scientists and…
·medium.com·
Evaluating Search: Measure It
Evaluating Search: Measuring Searcher Behavior
Evaluating Search: Measuring Searcher Behavior
Measuring the effectiveness of your search engine is hard. But you have an army of volunteers helping you: your customers. A great way to…
·medium.com·
Evaluating Search: Measuring Searcher Behavior
Evaluating Search: Using Human Judgement
Evaluating Search: Using Human Judgement
In the previous post, we looked at measuring searcher behavior in order to evaluate search engine performance. Measuring searcher behavior…
·medium.com·
Evaluating Search: Using Human Judgement
Facets of Faceted Search
Facets of Faceted Search
Faceted search is a simple idea that turns out to be quite nuanced in practice. This post focuses on nuances neglected in the literature.
·medium.com·
Facets of Faceted Search
Query Understanding, Divided into Three Parts
Query Understanding, Divided into Three Parts
Julius Caesar started his famous text on the Gallic wars with the sentence “Gallia est omnis divisa in partes tres.”
·medium.com·
Query Understanding, Divided into Three Parts
Search: Intent, Not Inventory
Search: Intent, Not Inventory
When I enter a store, my intent is “I want to buy X,” not “Show me products that satisfy characteristics X, Y, and Z.”
·medium.com·
Search: Intent, Not Inventory
Search Queries and Search Intent
Search Queries and Search Intent
Search queries are not the same as intents. By recognizing when two queries represent the same intent, we can improve the search…
·medium.com·
Search Queries and Search Intent
Shopping is Hard, Let’s go Searching!
Shopping is Hard, Let’s go Searching!
In 1992, Mattel released the infamous Teen Talk Barbie, most known — and rightfully mocked — for saying “Math is hard, let’s go shopping!”…
·medium.com·
Shopping is Hard, Let’s go Searching!
Thoughts about Managing Search Teams
Thoughts about Managing Search Teams
There are lots of articles out there telling you how to be a good manager. This isn’t one of them. This post is specifically directed at…
·medium.com·
Thoughts about Managing Search Teams
When There’s No Conversion Rate
When There’s No Conversion Rate
Behavioral metrics for search usually come from two signals: clicks and conversions. This pattern is almost universal. Almost but not quite.
·medium.com·
When There’s No Conversion Rate
A/B Testing Search: thinking like a scientist
A/B Testing Search: thinking like a scientist
In our last installment, we learned about the important of metrics and how the choice of metrics is so important to building, maintaining…
·medium.com·
A/B Testing Search: thinking like a scientist
Measuring Search, A Human Approach
Measuring Search, A Human Approach
In my first post on search I discussed two strategies for human or metrics-centered approaches to improving search. Now, I’m going to…
·medium.com·
Measuring Search, A Human Approach
Query Triage: The Secret Weapon for Search Relevance
Query Triage: The Secret Weapon for Search Relevance
Remember way back in my first post on search relevance how I said there’s a statistical and a human-centered approach to search…
·medium.com·
Query Triage: The Secret Weapon for Search Relevance
Setting up a relevance evaluation program
Setting up a relevance evaluation program
In my first couple of posts, I described the need for human- and metrics-centered approaches to relevance improvement and how we can…
·medium.com·
Setting up a relevance evaluation program