Site Search 360
Algolia
ElasticSearch
Google Custom Search
Apache Solr
Swiftype
Cludo
Swiftype Site Search
TensorFlow
PyTorch
Keras
Scikit-learn
IBM Watson Studio
H2O.ai
Azure Machine Learning Studio
Azure Machine Learning Service
Site Search 360 is a smart, ad-free search interface for your website. With a simple drag-and-drop integration, get your search up and running in no time! Let your visitors find exactly what they are looking for, right away.
Features of Site Search 360 include: * Quick and easy visual configuration of your search bar, suggestions and results with our Search Designer * Instant search-as-you-type results, autocomplete and popular searches * Smart categories and Faceted Search * Key information (e.g. brand, price, date) can be automatically extracted and shown directly in your search snippets * Semantic search: built-in dictionaries in 19 languages + the ability to add your custom synonyms * Analytics to help you get the most out of your search: what your visitors look for the most, what results they click on, what queries bring no results, etc. * Full control over search results: boost, reorder, redirect and map * Integration with Google Analytics and Google Tag Manager * Import of Google Custom Search promotions * Low-to-no-code Search Designer to customize your search appearance and results and avoid search abandonment * FAQ page search * Search Secure Content * Awesome support: via live chat, email, or phone
Site Search 360 TensorFlowSite Search 360's answer
Site Search 360 leverages a combination of advanced technologies to deliver its search solutions. The platform utilizes Amazon Web Services (AWS) for cloud computing, ensuring scalability and reliability. It also integrates Google Analytics and Google Tag Manager for data tracking and analysis. Cloudflare is employed to enhance security and performance, while Amazon CloudFront is used for content delivery. For frontend development, Site Search 360 offers a React component, enabling seamless integration with React applications. Additionally, the platform is built to integrate with various systems, including PIM, ERP, and CRM, providing a flexible and comprehensive search solution.
Site Search 360's answer
Site Search 360 was developed by the search experts at Zoovu (formerly SEMKNOX GmbH), based in Dresden, Germany. With over a decade of experience in semantic product search, Zoovu created Site Search 360 to enhance on-site search functionality for websites and apps. The platform aims to improve user experience by providing quick and accurate content searches, contributing to increased visitor engagement and customer conversion rates.
Site Search 360's answer
Site Search 360 stands out due to its ability to provide highly customizable, AI-powered search solutions that enhance user experience and engagement. It supports dynamic ranking, multilingual capabilities, and integrates seamlessly with various systems like PIM and CRM. Additionally, it offers in-depth analytics and insights into consumer behavior to continuously improve search relevance, while ensuring privacy and security with GDPR compliance and SOC 2 Type 2 certification.
Site Search 360's answer
Customization and Flexibility: Site Search 360 offers highly customizable search options, allowing businesses to tailor the search experience to their specific needs and customer preferences.
AI and Machine Learning: The platform uses advanced AI and machine learning algorithms to optimize search results and continuously improve accuracy, ensuring that users get the most relevant content.
Seamless Integration: It easily integrates with a variety of systems like CRM, PIM, and eCommerce platforms, making it a versatile solution for businesses with diverse technology stacks.
Actionable Analytics: The platform provides detailed analytics and insights that help businesses understand user behavior and refine their search strategies, driving more engagement and conversions.
Security and Compliance: Site Search 360 adheres to strict privacy standards with GDPR compliance and SOC 2 Type 2 certification, ensuring that businesses can trust it with sensitive data.
These features make it a strong contender for businesses looking for a customizable, scalable, and secure search solution.
Site Search 360's answer
Small-to-medium-sized businesses as well as larger enterprises looking for an innovative yet affordable search solution.
Site Search 360's answer
Site Search 360 serves a diverse range of clients, including both small businesses and large enterprises. Notable customers include: - Sparkasse - Progres Mode - Helsana Group - Einhell - the American Medical Writers Association (AMWA) and organizations such as Stanford University and Zurich.
Basic install/setup was done in about an hour. Had some questions on customization and their support staff is quick to respond and very helpful. Very good value for the price!
We have been very happy with SiteSearch 360 as it was an easy search solution to deploy to our website as well as easy to manage. It is also affordable compared to some others out there.
The plugin not only vastly improved the search experience of our clients using it, but the customer service configuring the plugin was spot on! Quick responses and in-depth one-on-one help got the plugin set up exactly how we needed it to be!
Based on our record, TensorFlow should be more popular than Site Search 360. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Site Search 360 - https://sitesearch360.com - $9/month. - Source: dev.to / about 2 years ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Google Custom Search - Google Custom Search enables you to create a search engine for your website, your blog, or a collection of websites.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.