Recombee is a recommender that offers personalized search & recommendations for e-commerce, media, and other industries. It uses machine learning algorithms to analyze user behavior,
Search technology is undergoing a rapid transformation, fueled by the integration of artificial intelligence (AI) by leading tech giants such as Google and Microsoft. The
Woocommerce is the #1 solution for e-commerce globally. This WordPress plugin provides a powerful and customizable platform for online businesses to sell their products and
Woocommerce is one of the most popular and widely used WordPress plugins for e-commerce websites. It offers a wide range of features and functionalities that
Recombee is a personalized search & recommendations provider. One of it’s major advantages is that Recombee gives the user the option of modifying the queries
Boosting your Google search ranking in 2024 poses a considerable challenge due to an unprecedented number of websites vying for the top spots. Despite the
Movie streaming platforms utilize advanced recommendation algorithms to enhance content discovery for viewers, making the viewing experience personalized and enjoyable. By providing tailored suggestions based
Recombee is an AI-powered recommender that offers both recommendations & personalized search. Whether it’s recommending products, articles, or movies, Recombee leverages advanced algorithms and machine
Recommendations are an emerging technology today, often used in e-commerce or video streaming. If you wish to equip your WordPress or Woocommerce website with recommendations,
For many websites, from e-commerce platforms to blogs, an effective search function is essential, particularly when dealing with extensive data. Despite its popularity as a
SEO, often neglected during the initial phases of website development, plays a pivotal role in its success. In the quest for the perfect technology stack,
In the past, websites aimed to boost click-through and conversion rates by improving search features. Now, a new technology called recommender systems has emerged. These
I bet that the name Retrieval-augmented recommendation reminds you of something. That’s right! It’s a similar process to RAG (retrieval-augmented generation) but with a twist.
Personalization has become impossible to ignore in today’s digital landscape, permeating various aspects of our online experiences. As consumers increasingly expect personalized experiences, businesses across
Fifteen years ago, the strategies for search engine optimization (SEO) were quite different. Practices such as keyword stuffing, purchasing backlinks, and overfilling the meta keywords
Search has evolved over the years, first starting with traditional keyword search, then moving on to Vector (AI) databases. But nowadays, a new type of
Recommenders are intelligent systems designed to analyze user preferences, behaviors, and interactions to provide personalized recommendations. These systems utilize various algorithms and techniques to suggest
Nowadays, text generation is making a big wave thanks to LLMs (Large Language Models). Trained on large amounts of publicly (or sometimes privately) accessible data,
Over two decades since its inception, WordPress stands as the prominent CMS globally. Originally a basic tool for blogging, it has evolved into a versatile
AI recommenders (and personalization in general) are used to suggest pertinent content to your website’s visitors. They work by being trained using data that is
AI Recommendation systems play a crucial role in enhancing the shopping experience for e-commerce customers. E-commerce platforms (example: Woocommerce) can provide personalized product recommendations tailored
There are many ways of measuring success when evaluating your website’s effectiveness, but the main ones are probably CTR & conversion rate. CTR (or
In the past, you used to increase your website’s click-through/conversion rate by adding a high performance and relevant search experience. But recently, a new type
Concepts The traditional boolean operators are AND or NOT are very effective when programming or doing SQL requests but are not as good for
WordPress common security vulnerabilities When trying to setup the perfect experience for your users, create a plugin or a theme, you could need to write
How are inverted indexes used ? Have you ever wondered how search engines and libraries like Lucene, Solr and Elasticsearch work? They use
Have you tried GenerateBlocks? Recently started new website creation projects so I thought I would try out WordPress pagebuilders other than good old Elementor. Somebody
How does the default WordPress search works ? Learn how the default WordPress search works. Why it’s making lose money It works by sending a
Have you have installed your search engine like Elasticsearch, Opensearch or Apache Solr but found the results unsatisfying. It seems just setting up your search is
For more info about Weaviate, check out our documentation. If you’ve ever wanted to use Weaviate but were worried that you couldn’t use the most efficient
Qdrant is a vector database & vector similarity search engine. You can import your own data into Qdrant to be used but first you need to
RAG sends the retrieved information to a generative model to construct a specific response. A typical example is an SEO consultant summarizing documents relating to
WooCommerce & WordPress search is such an underrated topic for successful projects, and for good reasons. Indeed, many agencies and site owners wonder if a
Announcing new wpsolr.com docker search demos for OpenSearch Project, Elastic #Elasticsearch, The Apache Software Foundation #Solr, Vespa.ai, Weaviate. — Why? — Testing WooCommerce with any search engine can be challenging. — Docker to the rescue —
Announcing new wpsolr.com series of self-signed certificate tutorials for OpenSearch Project, Elasticsearch, Apache Solr, Vespa.ai, Weaviate. Docker and Kubernetes. Because installing security on your self-hosted search engine should not be
Including: – Elastic Elasticsearch – The Apache Software Foundation Solr – OpenSearch Project Opensearch – Algolia – Weaviate – Vespa.ai
Each new WPSOLR release is tested with SearchStax to guarantee a perfect continuation of service. You can try the demo for Searchstax with WooCommerce on Cloudways: https://lnkd.in/dPVxZ5QK Or read the
Check now some WooCommerce semantic search demos with Weaviate https://lnkd.in/dzucnPtZ
— Documentation — Weaviate GPT4All module: https://lnkd.in/dYgu2Et6 Nomic AI GPT4All documentation: https://lnkd.in/dRrxBVfZ — Demo — And now, the WooCommerce demo: https://lnkd.in/dx85mQyd 🥁 — Other Weaviate demos — If this not enough, all Weaviate demos for WooCommerce: https://lnkd.in/dzucnPtZ
Read this other Sease | Information Retrieval Applied article on multiple-vector ranking with Vespa.ai: https://lnkd.in/dz_kist4
OpenAI CLIP text|image model was a dream 🦄 But Meta Facebook ImageBind text|image|video|audio model is nuts 🚀 — Warning — Non commercial license for ImageBind: https://lnkd.in/dH5mUj3U https://lnkd.in/d7JSzwNb Weaviate 1.21
Amazon OpenSearch is going serverless, with vector search and embedding models There are restrictions on the OpenSearch API
So good I’m using it to train wpsolr.com‘s team internally. ONNX, embeddings, ranking: everything is explained, step by step. Material included. Even the MS Marco
https://docs.vespa.ai/en/reference/rank-features.html Not sorting, obviously. Visitors will never click on ill-matched products, even with the best ratings or the cheapest price. Without further ado, the correct
— First, lets explore some important Vespa concepts — Full documentation: https://lnkd.in/dgYTxi9a 1. A Vespa “application” is a set of files deployed on “nodes”, on docker/Kubernetes/Vespa
– Is your first-phase, second-phase, or global ranking performing well? – Is combining #BM25 with #embeddings work? – Does your fieldset lacks some important fields? – Is the linguistic
WooCommerce owners cannot spend much time reading documentations. To facilitate the adoption of technologies like AI search, we must reduce the technical barrier as much as
https://www.searchstax.com/podcasts/data-ingestion-podcast/ One solution is web scrapping, with many quality issues. A better solution is extracting and cleaning data from the database itself. This is exactly