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Previously here on Search Engine Journal, I covered various Semantic Search Engines which have erupted on the scene as alternatives to Google and Microsoft / Yahoo. Here are 4 more search engines that use different approaches to make results highly relevant.

1. Evri

chúng tôi to put it briefly, presents to you connections between content that goes beyond keyword search. The technology powering the site is able to extract the subjects that occur in an article. This is similar to the approach that people use to understand the meaning of sentences where words and their occurrence in a sentence are used to make sense of the right context.

Taking an example from the Evri Blog,

for a sentence like:

Chief Seattle spoke to his people.

In addition, the other cool features from the site are :

EvriFeed, a constantly updating stream of the latest about interesting topics in the EvriVerse.

Evribot, an automated Twitter account that tweets extremely brief summaries of news stories.

Collections allow you to follow entities for latest updates on them.

APIs to make these entity extraction available to Developers

There is an iphone app as well.

Using semantic technologies, Evri is able to search, relate and suggest information beyond the limits of keyword matching. Perhaps the icing on the cake would be providing completely crafted articles that get their information from the ever growing content on the web, but are not being heavily dependent on any single source alone.

2. DuckDuckGo

There is a firefox extension for the engine that saves you from useless, parked and spam pages from search results, They have an iPhone app as well.

On DuckDuckGo

3. DeepDyve

DeepDyve is a research tool that retrieves content from the ‘Deep Web‘. By applying semantics to a data source not indexed by traditional search engines, the engine has a good chance of returning very relevant data. For now, the engine is limited to these areas :

Life Sciences and Medical

Physical Sciences

Humanities and Social Sciences

Business and Finance

Patents, Legal

Clean Technology and Energy

IT and Engineering.

If you need specific information in any of these areas, you must try DeepDyve.

Deepdyve Sources

4. Truevert

Truevert claims a semantic model that is not dependent on categorization alone. While the engine presently serves content in context of the environment, the idea is to have a model created for different contexts that a keyword can map to. Their blog provides good information on semantic search and the different approaches. The contextual model makes for highly scalable and quick response times.

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6 Privacy Search Engines To Browse The Web Safely

Before Google, discovering websites and services or finding information was tricky. The same can be said for internet users now if they had to do anything on the web using URLs only, and no search engines.

Today though, Google is more than just a search engine; it’s become a verb that we use every day, and this has been ingrained in the psyche of internet users. Billions of people visit Google’s pages and rely on its algorithms to deliver fair and balanced search results based on their queries.

Table of Contents

As much as it’s the web’s most popular search engine, it’s not the best from a privacy standpoint because it harvests user data and private information, which is big business right now.

Besides surveillance by governments, online snoopers, tech giants like Microsoft or Facebook, secret services, and other entities that want to know what you do all the time, Google also has a lot of data on you and uses it in more ways than you’d know.

Best Privacy-Focused Search Engines







This is a simple and clean privacy search engine that doesn’t track or share your information with others, so you can search the internet without handing over your right to privacy.

It doesn’t apply the “filter bubble” process that Google uses to “filter” search results based on users’ past search queries, their locations and any other user data they collect through different means.

DuckDuckGo has no filters or anonymous identifies that link your searches, so it won’t even know whether or not all your searches are from the same device, so there’s nothing that traces back to you.

It uses “Bangs”, a unique non-privacy feature that lets users search other sites directly by simply typing an exclamation point before a search query. To find search results for your queries, the search engine uses 400 sources, with most hits drawn from Bing, Yahoo and Yandex, without including Google search results.

The downside with DuckDuckGo is the limited image search results and they’re neither personalized or dated.

This Switzerland-based privacy search engine should be a favorite among parents if it isn’t already because of its focus on private but family-friendly searches.

It excludes adult themes entirely from all search results, all from Bing, and doesn’t give you any options to override it. You also get the guarantee that it won’t store any personal user data like IP addresses or search queries among other identifiers.

The engine assesses your search keywords for context, using machine learning to deliver better results without compromising on the safety of your data, though privacy-conscious users may not be fully convinced about it.

When a company like chúng tôi a leading, anti-state-sponsored data recording campaigner, recommends a tool or software, you know it’s legit.

It displays information such as news stories, events, trending people, and a lot more, and benefits from the strict data protection laws of the European Union as its servers are in France.

Qwant is quickly rising up the ranks as one of the popular privacy-focused search engines because of its impressive results pages and Qwick search shortcuts.

This is an open-source, metasearch engine, which means you can also run your own instance of it, and even check its code to ensure they keep their word on protecting your privacy. This way, you have a guarantee that your data isn’t being logged.

It also pulls data from several other engines and delivers the best mix of search results drawn from DuckDuckGo, StartPage and others on this list. If you want, you can customize the list of engines it uses by going to the Preferences menu.

One of its main drawbacks is it gets blocked by Google because it scrapes its results.

This search engine has a unique and innovative way of displaying search results by using a card format, unlike the usual Google style of displaying results.

For every result, you’ll see a snapshot of the website using your display’s full width, without slowing down the site’s performance.

It provides the usual privacy protections though it saves your search queries for a limited duration. Don’t worry, they won’t be traced back to you because Peekier doesn’t store your IP address, search history, browser’s user agent or unique identifiers.

If you still want to see Google search results without the search engine seeing anything that would reveal your identity, use StartPage.

Unlike DuckDuckGo, this privacy-focused search engine pulls results from Google Search, and doesn’t trace back to you. StartPage pays Google for these results and in turn, Google just sees lots of traffic from StartPage servers – no IP addresses or user identifiers shared.

Take Back Your Privacy

Online search sessions are the most personal thing on the internet for many people. The privacy implications of their search histories aren’t a priority in such moments of blissful ignorance, as much as getting relevant and timely answers and solutions, and quickly at that.

4 Different Factors That Affect Where A Webpage Ranks In Google

While there are more and more ways for people to find your website today than there were even a few years ago, it’s still true that Google can impact its success or fuel its failure more than any other single platform.

The key is to ensure that your site is well optimized so that it plays nice with Google’s search algorithms, and to do this you need to know about what factors influence how this engine ranks web pages. So let’s look at the most important aspects of optimization, and what you can do to achieve them.

The Quality of Content on the Page

When it comes to SEO, content is still king. Google will reward webpages with high-quality content that provides true value for users. This means avoiding keyword stuffing and writing concisely about topics related to your website or niche in a way that educates, informs and entertains readers.

It also helps if you use strong formatting, such as headings and bullet points, to break up text and make for more pleasant reading overall.

Additionally, try to incorporate multimedia elements, such as images or videos, into your page’s content. This engages visitors and keeps them around longer, which in turn will lead to ranking higher in search engine results pages (SERPs).

Page load time is another important factor when it comes to SEO. Google rewards pages that load quickly, as this improves user experience and keeps visitors on your site longer.

To check your page’s loading speed, use a tool such as GTMetrix or Pingdom to identify areas of improvement. These tools can help you optimize images through compression, minimize redirects/HTTP requests, and enable browser caching, all of which contribute to faster loading times.

For further tweaking, look at reducing any large scripts or code bloat that may be slowing down your website. Getting rid of unnecessary elements will go a long way. And of course working with a provider like NameHero that provides simple web hosting packages at good prices will ensure you aren’t hampered by any server-side issues from a page load speed perspective.

The Use of Keywords and Meta Tags

Using the right keywords is essential for Google to understand what your page is about. It’s crucial that you target relevant keyword phrases in the body text, titles, headings and subheadings throughout your website.

Then, use meta tags to describe each page on your site. These are brief descriptions that search engines can read which help them identify what a web page is about without having to crawl through all its content. Make sure they’re unique per page however, because duplicate meta tags could result in penalties and lower rankings within SERPs.

Inbound Links From Other Sites

One ranking factor you definitely can’t afford to overlook when it comes to SEO is external links from other sites. These tell Google that your page is popular and trustworthy, thus making it more likely to get recommended higher up among the results for your target keywords.

Try encouraging other websites in your niche, or authoritative sites in related fields, to link back to yours. This could be done through guest blogging, or offering them content that can benefit their audience too.

Also look at creating social media accounts for your site and sharing its content as much as possible. This builds up a larger audience over time, which will lead to more inbound links being found on third party sites.


Why Chatgpt And Bard Can’t Replace Search Engines


In recent years, the rise of Generative AI tools like ChatGPT and Bard has changed the way we interact with technology. These intelligent chatbots are capable of answering any question you ask them (irrespective of whether they understand the topic referred to in the question), leading some to believe they could replace search engines altogether. However, is this really possible? This article will explore the limitations of AI chatbots and why they cannot replace search engines.

The Internet Run by Search Engines

Since AI tools like ChatGPT can answer literally any question you ask, some intellects suspect it to be the end of Search Engines. They also believe that OpenAI – Microsoft duo will replace Google. The internet was at a time flooded with articles predicting the end of the Google Era.

The Biggest Problem with Chatbots

One of the biggest problems with modern chatbots like ChatGPT and Bard is the issue of hallucination. These chatbots sometimes generate responses that are miles away from reality. Hence, the information generated by a chatbot always needs to be cross-checked and confirmed.

Why Do Chatbots Hallucinate?

A chatbot hallucinates due to the following two reasons:

It doesn’t know what the reality is. The current versions of ChatGPT and Bard tend to believe every piece of information fed to them is true.

At a more basic level, they don’t understand the difference between facts and non-factual sentences. As humans, we recognize that the same fact may be written in different ways, keeping the fact intact. A chatbot is unable to do that.

However, a chatbot can overcome this problem by verifying the results generated with authentic sources. But determining the authenticity of a source is a whole new problem for these AI tools and us!

The Need for Human Validation Favors Search Engines

Even when a chatbot becomes intelligent enough to double-check its response, an intelligent human mind will never trust it because the workings of modern AI chatbots are still a black box. Therefore, chatbots will have to provide references and a list of sources, which brings us back to the need for human-driven sources.

Only sources curated by human beings are reliable; however, even that is not a guarantee. This is why we need experts to provide us with reliable information. Meanwhile, search engines like Google provide links to the source, allowing us to check its validity. 

The Internet Run by Chatbots

One may tend to wonder if search engines would remain unaffected by the rise of chatbots. The answer to this is – No. One of the best features of chatbots is that they can summarize and paraphrase content really well. The probable impact of it is that chatbots will become another component of search engines, where they will be used to summarize the content from top search results.

This is what Bing and Google have done. Google, being more cautious while making changes to its search engine, has introduced another specialized chatbot instead of integrating Bard into the system. Google AI Search will aim to provide authentic results, while Bard will be used for general interactions. This is a smart move to save the authenticity of Google Search.

Research in the Field

In a few recent research pieces, chatbots’ hallucination issue has been recognized very well. The researchers have suggested using the LLMs on top of Information retrieval. The whole process happens in the following three steps:

At first, a complex query is broken down into simpler subqueries.

For each subquery, an information retrieval model (search engine) finds out the top results.

Once the top results are available, the LLM is used to restructure the output. Here the LLM would act as a summary.

But even in this case, the links from which the result has been compiled will have to be provided to validate the results. 

The Recent Development in Search Engines

Bing has recently integrated ChatGPT with its search engine. It has resulted in a 15% increase in daily traffic. The Chatbot’s main function is to summarize the top search results and provide relevant links that it has used to construct its findings. This feature adds an interactive touch to web surfing. It also lets users get an overview of the discussed content in suggested links. Google has also announced a similar approach at the Google I/O 2023 event, indicating that they are following Bing’s footsteps by integrating a chatbot into their search engine. 

The future of search engines appears to be heading towards a more interactive experience for users.


While AI tools like ChatGPT and Bard have revolutionized how we interact with technology, they cannot replace search engines. The problem of hallucination is one of the biggest limitations of modern chatbots. And even when they become intelligent enough to double-check their responses, human validation will always be required. As of today, search engines like Google remain the most reliable sources of information, allowing us to check the validity of sources. However, chatbots can still play a significant role in summarizing and paraphrasing results from top search results. Therefore, instead of replacing search engines, chatbots will become another component of them, used for general interactions, while search engines continue to provide authentic results.


How To Use Cloudera Cdh With Different Steps?

Introduction to Cloudera CDH

Cloudera CDH is Cloudera’s 100% open-source platform distribution provided by Cloudera Inc; it is a Palo Alto-based American Enterprise Software Company that includes Apache Hadoop, built to meet enterprise demands. Cloudera CDH delivers everything a user needs specifically for enterprise use. CDH, Cloudera Distributed Hadoop, provides the most complete, tested, and popular distribution of Apache Hadoop and other related projects. It delivers core elements of Hadoop, distributed computing, scalable storage, vital enterprise capabilities, and Web User Interface. We will explore how to use Cloudera CDH, establish its connection to Cloud Storage, and set it up.

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How to Use Cloudera CDH?

Step 1: Before installing Cloudera Manager CDH and other managed services, the user needs to take care of Storage Space and plan for Cloudera Manager.

Cloudera Manager needs to track job metrics and applications in background processes. Storage requirements can vary depending on the organization’s size, and it can be either local, remote, or disk-based, as all the metrics require storage.

Failing to plan the storage needs, CDH can negatively impact in many ways –

A cluster might miss critical audit information not retained or gathered for the required time.

A cluster might not be able to get the historical operational data to meet internal requirements.

Gaps might be present in collections and charts.

Administrators may not have historical Yarn, MR1, or Impala data usage when they need to reference or report on it later.

Administrators may be unable to have the research health status or past data.

Configuration host in Clusters allows all the members to communicate with each other.

Setting the unique hostname

Editing /etc/hosts/ with IP address and qualified Domain name for each host in the cluster.

Editing /etc/sysconfig/network with Domain name of the host.

Verifying each host consistently identifies a network.

Firewall disabling, save the existing rule set for iptables, and then disable the firewall based on the compatibility, be it RHEL 7 and SLES or Ubuntu.

Setting Secured Enhanced Linux allows for setting the control access through policies. For example, if there is an issue in Deploying CDH, then SELinux should be set in permissive mode on every host before deploying CDH on a cluster.

Enabling NTP Service: Cloudera CDH needs Network Time Protocol(NTP) configuration on each machine in the cluster. And have the Software Collection Library Repository installed in the system.

Step 2: Connection of Cloudera Manager to Cloud Storage/ Setup Connectivity of CDH

Configuring Repository for Cloudera Manager. You install Cloudera Manager using a package tool such as zypper for SLES, yum for RHEL, and apt-get for Ubuntu.

Install JDK, Java Development Kit. It can be either Oracle JDK by Cloudera using the Cloudera Manager or an Open JDK. Most of the Linux distributions that Cloudera supports include Open JDK.

Based on the Operating system, the syntax for installing packages is as below:

sudo yum install cloudera-manager-daemons cloudera-manager-agent cloudera-manager-server        à Oracle Linux, CentOS, RHEL

sudo zypper install cloudera-manager-daemons cloudera-manager-agent cloudera-manager-server       à SLES

sudo apt-get install cloudera-manager-daemons cloudera-manager-agent cloudera-manager-server       à Ubuntu

Installation and Configuration of Database. Cloudera uses various databases and datastore to store information about Cloudera’s configuration and the system’s health or task. Users can use MariaDB, PostgreSQL, Oracle DB, or MySQL for Cloudera Server and other services.

Setting up the Cloudera Database, Cloudera Server includes a script that helps to create and configure the database. First, the script can create a Cloudera Server Database config file. Then, create a database for the Cloudera server for usage and create and configure a user account for Cloudera Server.

After setting up the Cloudera database, you must start the Cloudera Manager Server and log in to the Admin console to install CDH and other related software. The default credentials would be admin, and the password is also admin by default.

Setting up Cluster using Wizard, after completion of adding the clusters, the installation wizard, Add Cluster Configuration Wizard, will automatically start.

Getting Started with Cloudera CDH

Cloudera CDH provides –

Compatibility: It leverages IT infrastructure and investment.

Flexibility: It stores any data and manipulates it with various computation frameworks that include batch processing, free text search, interactive SQL, statistical computation, and machine learning.

High Availability: It performs mission-critical business tasks with utmost confidence.

Scalability: It enables various applications that scale and extend to suit user requirements.

Security: It processes and controls sensitive data.

Cloudera CDH – Classic Clusters

Classic clusters track the total number of clusters enabled for Replication Manager, track clusters in error state, active clusters, and clusters for which a warning has been issued.

Users must register on existing on-premise Cloudera Distribution of Hadoop on the Management Console, after which users can copy or move the data to the cloud. These are called classic clusters.

Classic Clusters show below statuses –

Active, Warning, Error, Total.

You must use Cloudera Manager for CDH to investigate the classic cluster’s status.


With this, we shall conclude the topic “Cloudera CDH.” We have seen what CDH is and how it is used, and how it is to be installed; the steps required to install and prerequisites before installation have also been looked into. We have also gone through Cloudera Connectivity to Cloud Storage or the setup of Cloudera CDH. Finally, I have gone through the Classic clusters in Cloudera CDH, which will help to give a deeper insight into the concept.

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Whatsapp: How To Use The Advanced Search Feature

WhatsApp has turned into another app you turn to to find a specific file. Sure, you may already have a file manager installed, but you usually look for the file there if you’re already on the app. For a long time, the WhatsApp search tool needed a lot of improvement, but, not too long ago,  it got a much-need update.

Since the feature is new, you could accidentally do something that you’ll definitely regret later. The new WhatsApp search tool is easy to use, but it doesn’t hurt to read up on some tips before using it, right?

How to Get the Most out of WhatsApp’s New Search Feature

If you have no idea what conversation the file you’re looking for is in, you can do a general search. To do that, open WhatsApp and tap on the magnifying glass option at the top. The app will show you option such as:







For example, let’s say you’re looking for an audio. Tap on the audio option, and WhatsApp will show you all the audios you’ve received, starting with the most recent. Searching for the audio this way can’t take a lot of time. To speed things up a little, type the name of the person that sent you the audio. After typing a few letters, the app will group together all the audios from that person.

But, at the top, WhatsApp will give you the option to chose from different names. Since you’re looking for an audio, you’ll see options such as From John or From Sara. Tap on the name you think the audio you need is in to see them all.

Things get slightly different when you’re looking for files such as photos and GIFs since it shows you more information. For example, if you’re looking for a picture, you can see who the picture was from by changing the layout by tapping on the top’s layout icon.

As you can see from the image above, you’ll see the name along with the GIF the other person sent, but you’ll also see the ones you sent as well.

How to Search for Files on for a Specific WhatsApp Contact

To find a file from a particular contact, tap on the search option at the top. Type the name of the contact, and at the bottom, WhatsApp will show the latest messages from the contact, and in the middle or top, you’ll see the type of files you can search for.

For example, if you want to look for a specific image from that contact, tap on the Photos option. The first image you’ll see will be the latest one you received or sent that contact. Since you already know who the file is from, it’s best to see the images as big as possible since it’s easier to read when those images were sent.


There’s always room for improvement, but the update that the WhatsApp search tool received is great. These changes are a must if WhatsApp wants to keep its users, not only make them stay but keep them happy. What are your thoughts on the feature?

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