Connect with us

SEO

AI Re-Ranking For Semantic Search

Published

on

AI Re-Ranking For Semantic Search

Search isn’t just about matching keywords – and that’s even more true when we talk about semantic search.

Semantic search is about finding the right information for the searcher at the right time.

That goes beyond finding the right keywords and concepts and speculating how searchers will interact with the results.

Artificial intelligence (AI) re-ranking will take information about the people who come to search and tailor search results to the individual.

That might be done on a cohort level, changing results based on trends, seasonality, and popularity.

It might also be done individually, changing results based on the current searcher’s desires.

While AI re-ranking is not easy to implement in a search engine, it brings outsized value for conversions and searcher satisfaction.

Advertisement

Re-Ranking With Artificial Intelligence

AI-driven re-ranking can improve search results, no matter the underlying ranking algorithm a search engine uses.

That’s because good search results are more than textual relevance and business metrics like raw popularity.

Good results take into account other signals and do so on a per-query level.

To see why this is important, let’s focus on the business metric of popularity.

It’s a good general ranking signal but can fall short for specific queries. A search query of “red dress” might bring up in the first results two different dresses: “backless dress with red accents” and “summer dress in bright red.”

The backless dress might be more popular as an overall dress and product.

But in this case, specifically, it’s not what customers want.

They want a red dress, not one with red accents, and they click and buy accordingly.

Advertisement

Shouldn’t the search engine take that as a signal to rank the summer dress higher?

Search Analytics

As the above example shows: Understanding what searchers are doing is necessary for re-ranking.

The two most common events to track are clicks and conversions.

Generally, those are the only two events necessary and must be events coming from search.

The example above also highlights another important consideration: the events should be tied to specific queries.

That allows the search engine to learn from the interplay between the different result sets and user interactions. It propels the summer dress higher in the search results for the “red dress” query.

The same product might be less popular for other queries than its neighbors.

When looking at your different events, you’ll want to weigh them differently, too.

Advertisement

Clicking on a result is a sign of interest while making a purchase (or any other conversion metric) is a sign of commitment.

The ranking should reflect that.

The weighting doesn’t need to be complex.

You can go as simple as saying that conversions are worth double clicks.

You should test the right ratio for your own search.

You may also want to discount events based on the result ranking at the time the searcher saw it.

We know that a result’s position influences its clickthrough rate (CTR).

Without discounting events, you may have a situation where the top results become even more entrenched because they get more interactions, which keep them ranked higher – and repeating infinitely.

Advertisement

Freshness And Seasonality

A simple way to combat this self-reinforcing loop is by discounting events based on the time passed since the event.

That happens because each event that occurred in the past has an increasingly small impact on re-ranking. That is, until, at some point, it has no impact at all.

For example, you might divide the impact of each event by two, each day, for 30 days. And after 30 days, stop using the event for ranking.

A nice benefit of using freshness in the re-ranking algorithm is that it also introduces seasonality into the results.

Not only do you stop recommending videos that were extremely popular years ago but are boring to people today; you also will recommend “learn how to swim” videos in the summer, and “learn to ski” videos in the winter.

YouTube has seasonality and freshness built into its algorithm precisely for this purpose.

Using Signals To Re-rank

Advertisement

Now that you’ve got the signals and decaying them over time, you can apply them to the search results.

When we see “artificial intelligence,” we often think of something incredibly complex and inscrutable.

AI, though, can also be as simple as taking data over time and using it to make decisions, like we’re doing here.

One easy approach is to take a certain number of results and simply re-rank them based on a score.

For performance reasons, this number of results will generally be fairly small (10, maybe 20). Then, rank them by score.

As we discussed above, the score could be as simple as adding up the number of conversions times two, plus the number of clicks.

Adding a decay function makes for more complexity, as does discounting based on result position – but the same general principle applies.

Learning To Rank

A drawback of this re-ranking system is that you are limited to re-ranking a smaller number of results.

Advertisement

If you have a result that would otherwise be popular but isn’t ranking high, that result won’t get the attention it warrants.

This system also requires events on the records and the queries you want to re-rank.

It won’t work for brand new product launches or user-generated content (UGC) that often comes in and out of the search index.

Learning to rank (LTR) can address these issues.

Much like the re-ranking we’ve discussed above, LTR also works based on the idea that the records searchers interact with are better than the ones they don’t.

The previous re-ranking method works by boosting or burying results directly when tied to a specific query.

Meanwhile, LTR is much more flexible. It works by boosting or burying results based on other popular results.

LTR uses machine learning to understand which queries are similar (e.g., “video games” and “gaming console”).

Advertisement

It can then re-rank results on the less popular queries based on interactions on the more common ones.

LTR doesn’t only generalize on queries; it generalizes on records, too.

The LTR model learns that a certain type of result is popular; for example, the Nintendo Switch game “Legend of Zelda: Breath of the Wild.”

Then, it can start to connect to other similar results (for example, “Legend of Zelda: Skyward Sword”) and boost those.

Why, then, not just use LTR if it appears to be much more powerful than your typical re-ranking and provides more query and record coverage?

(In other words: It generalizes better.)

In short, LTR is much more complex and needs more specialized in-house machine learning (ML) expertise.

Additionally, understanding why certain results are ranked in certain places is more difficult.

Advertisement

With the first type of re-ranking, you could look at the number of clicks and conversions over time for one record compared to another.

Meanwhile, with LTR, you have an ML model that makes connections that may not always be obvious.

(Are “Breath of the Wild” and “Sonic Colors” really all that similar?)

Personalization

While re-ranking works across all searchers, personalization is what it sounds like: personal.

The goal of personalization is to take results that are already relevant and re-rank them based on personal tastes.

While there is a debate on how much web search engines like Google use personalization in their results, personalization often impacts the performance of results in on-site search engines.

It is a useful mechanism for increasing search interactions and conversions from search.

Search Analytics

Just as with re-ranking, personalization depends on understanding how users interact with search results.

Advertisement

By tracking clicks and conversions, you’ll have a clearer idea of the kinds of results that the user wants to see.

One significant difference between re-ranking and personalization on this front is that, depending on your search, you might want to adjust how you apply personalization.

For example, if you sell groceries, you definitely want to recommend previously purchased products.

But if your website sells books, you won’t want to recommend a book that a customer has already bought. Indeed, you may even want to move those books down in the search results.

It’s also true, however, that you shouldn’t push personalization so hard that users only see what they’ve interacted with before.

Search empowers both finding and discovery. So, if they return to the search bar, you should be open to the possibility that they want to see something new.

Don’t rank results exclusively via personalization; make it a mix with other ranking signals.

Just as with re-ranking, personalization also benefits from event decay.

Advertisement

Decreasing the impact of older events makes a search more accurately represent a user’s current tastes.

In a way, you can think of it as personal seasonality.

Personalization Across Users

The kind of personalization we’ve seen so far is based on an individual’s own interactions, but you can also combine it with what others are doing inside search.

This approach shows an outsized impact on situations where the user hasn’t interacted with the items in the search results before.

Because the user doesn’t interact with the search result items, you can’t boost or bury based on past interactions, by definition.

Instead, you can look at users that are similar to the current user and then personalize based on what they have interacted with.

For example, say you have a user who has never come to you for dresses but has purchased many handbags.

Then, you can look for other users who have similar tastes and have also interacted with dresses.

Advertisement

Intuitively, other customers who like the same type of handbags as our searcher should also like the same dresses.

Re-Ranking And Personalization For Discovery

Search is only one example of where re-ranking and personalization can make an impact. You can use these same tools for discovery as well.

The secret is to think of your home page and category pages as search results.

Then, it’s clear that you can use the same tools you use for search and gain the same benefits.

For example, a home page is similar to a search page without a query, isn’t it? And a category landing page sure does look like a search page with a category filter applied to it.

If you add personalization and re-ranking to these pages, they can be less static. They will serve users what they prefer to see, and they can push items higher that are more popular with customers overall.

And don’t worry, personalization and re-ranking can mix with editorial decisions on these pages or inside search.

The best way to handle this is by fixing the desired results in certain places and re-rank around them.

Advertisement

We’ve seen that personalization and re-ranking are two approaches that take user interactions with relevant signals to make search better.

You can let your user base influence the result by using the interactions.

Little by little, these interactions tell the search engine what items should be ranking higher.

Ultimately, searchers benefit from a better search experience, and you benefit from more clicks and conversions.

More resources:


Featured Image: amasterphotographer/Shutterstock

window.addEventListener( 'load2', function() {

if( sopp != 'yes' && addtl_consent != '1~' ){

!function(f,b,e,v,n,t,s) {if(f.fbq)return;n=f.fbq=function(){n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments)}; if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0'; n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0]; s.parentNode.insertBefore(t,s)}(window,document,'script', 'https://connect.facebook.net/en_US/fbevents.js');

if( typeof sopp !== "undefined" && sopp === 'yes' ){ fbq('dataProcessingOptions', ['LDU'], 1, 1000); }else{ fbq('dataProcessingOptions', []); }

fbq('init', '1321385257908563');

fbq('track', 'PageView');

fbq('trackSingle', '1321385257908563', 'ViewContent', { content_name: 'ai-re-ranking-semantic-search', content_category: 'seo' }); } });



Source link

Advertisement

SEO

LinkedIn Professionals Share Their Best Unusual LinkedIn Marketing Hack

Published

on

LinkedIn Professionals Share Their Best Unusual LinkedIn Marketing Hack

LinkedIn is a great place to grow your business.

In the last 12 months, 93% of B2B marketers have used the platform the most to distribute content organically. LinkedIn also topped the same survey for producing the best results.

The same study reveals content marketers are also spending more on paid content promotion. The top platform where they’re spending? Linkedin.

Businesses can also use the network for marketing to and reaching potential customers. In fact, there are more than 1 billion interactions on LinkedIn Pages every month.

With these figures, there’s no denying the power of this social media platform to drive engagement and boost brand awareness.

Are you ready to take your LinkedIn marketing game to the next level but unsure where to begin?

Here are clever LinkedIn tips from seven LinkedIn pros to boost your marketing efforts.

Advertisement

Leverage LinkedIn Live

Thomas J. Armitage

Sales Executive, Site-Seeker

LinkedIn is the ultimate B2B playground. It’s like a professional conference that’s never-ending.

Live Streams, in particular, continue to be underutilized. That’s because people starve for valuable learning material.

With Live Streams, thought leaders can bypass the headaches typically involved in traditional webinar setups. No landing pages or sign-up forms are needed. You can easily promote the event through sharing and invitations, too.

Although you’ll need a third-party streaming software, most play nicely with LinkedIn.

And Live Streams are a great way to break the monotony of text posts and engage with your audience on a more personal level.

Make sure you identify a niche topic. Write a strong description that includes who the stream is for.

Invite users you know will find it worthwhile. And make sure to promote – both before the event, as well as after, since the full video will be available for playback.


Level Up Your Content Strategy

Adam Houlahan Adam Houlahan

LinkedIn Expert at Prominence Global, Author of “Influencer – The 9 Step Guide to Becoming Highly Influential in Any Industry”

The most effective strategy for LinkedIn lead generation that delivers consistent long-term results is Algorithmically Aligned Content.

Advertisement

Only 1% of the 850+ million members of LinkedIn share content regularly (weekly). Less than 1% of that 1% truly understand and share content that LinkedIn sees as valuable to its membership and organically promotes for you.

Share content that creates conversations on the platform and shows you are the authority in your area of expertise without solving your audiences’ problems for them.

I call it “Know How,” with “No How” content.

Consistently implement this content strategy, and your ideal clients will gravitate to you to solve their problems.

Felipe Bazon Felipe Bazon

Chief SEO Officer, Hedgehog Digital

Back in 2017, I decided that the only social network that I would use professionally was going to be Linkedin.

Since then, I have been posting weekly (sometimes daily) posts related to SEO strategies, techniques, and insights.

This has helped build my network and reach decision makers who see my posts and get in contact through the platform or our website to fill in the contact form.

These leads that turned into clients have contributed to the exponential growth we have had since we opened up our office in Brazil.

Advertisement

Being a well-known SEO down here, I’ve exploited these to our advantage; all leads came from my personal account, not the company’s.

We do have a business page for U.K. and Brazil and do some Linkedin ads to promote some stuff, but it is through the personal profile that the magic happens.

Since then, my posts are averaging:

  • 4,000 views
  • 100 interactions (likes and comments)
  • Five to seven organic leads per month

My tips are:

  • Consistency and frequency. Aim for at least a couple of posts each week.
  • Avoid sharing links on your posts; leave them in the comments. This increases the reach of your posts by at least 30%. For instance, if you want to share a new article from the blog, do a post talking about the subject and say, “We’ve written a complete guide about X, and you can find the link to it in the comments.
  • Don’t be shy in sharing insights, thoughts, and results. The community loves these types of posts. These tend to get loads of interactions.

Optimize Your Page

Virginie Cantin Virginie Cantin

LinkedIn Coach – VirginieCantin.com, Wall Street Journal bestselling author of “60 Days to LinkedIn Mastery”

My personal hack uses the experience section to highlight my services and activities. So instead of having a single job title such as “Founder,” I will have several job titles under my LinkedIn company page for each “hat” I’m wearing in my company.

I have a job title for my 1:1 coaching service, LinkedIn PEELING. Another job title is dedicated to my online course, LinkedIn BREAK-IN. Then, I use a separate job title to highlight that I’m a Wall Street Journal bestselling author.

Last but not least, I have a fourth job title that aims at getting me found by people looking for speakers and podcast guests.

The beauty of having several job titles is that you can optimize every single one of them for the algorithm so that people looking for a specific service or author, or podcast guest can easily find you.

Andy Foote Andy Foote

Advanced LinkedIn Strategies Coach

LinkedIn makes it really difficult to know who your “Super Fans” and potential “Super Fans” are; it’s as if they don’t want you to build any kind of base.

Advertisement

You can see this with how they treat followers; they’re not ‘following’ at all – because an algorithm inserts itself between you and folks who have voted to see your content.

Fortunately, there’s software on the market (peakAboo by Daniel Hall) that provides juicy data on everyone who has commented on your LinkedIn posts. This helps me to know who solidly supports me and, more importantly, people who commented only a few times.

It’s the latter category I want to target and figure out a way to convert them into persistent supporters, a.k.a. “Super Fans.”


Prioritize Human-Centric Approach

Sandra Long Sandra Long

LinkedIn Trainer & Speaker – Post Road Consulting, Author of “LinkedIn for Personal Branding: The Ultimate Guide”

Activate your employee team. Make sure your team’s LinkedIn profiles are co-branded and focused on client problem-solving instead of recruiter oriented.

Encourage the team to search and connect with coworkers, clients, and prospects. Train your team to build relationships with thoughtful, helpful comments and personalized messages.

Say no to automation. Train them to engage, inspire, and motivate their professional networks with valuable comments, original posts, and shared or reposted company page content.

Develop a company hashtag and communicate how to use it on LinkedIn. Most importantly, build your team’s confidence and make it fun!

Josh Steimle Josh Steimle

Founder of the LinkedIn agency BlueMethod, Author of the WSJ & USA Today bestselling book “60 Days to LinkedIn Mastery”

LinkedIn helps me solve my biggest challenges as an entrepreneur, whether it’s sales, recruiting, or finding partners.

Advertisement

LinkedIn has easily produced millions of dollars in value for me.

Even though I wrote a book on LinkedIn with 60 tips in it, everything I teach in my book can be summarized in two words: Be human. It’s the best LinkedIn hack.

Too many are trying to imitate robots on LinkedIn by sending out spam messages, posting content but never engaging with commenters, and avoiding the time-consuming, truly creative work of one-to-one communication. But that’s where LinkedIn performs best!

When you use LinkedIn to talk directly with others, like a normal human being, that’s the moment when LinkedIn becomes indispensable.

Takeaway

As the world’s largest online professional network, Linkedin makes a remarkable addition to your social media marketing strategy.

Remember to take advantage of LinkedIn features and be consistent – all while offering value and nurturing relationships.

Armed with these tips, you’re bound to thrive on the LinkedIn feed and reap the rewards.

More Resources:

Advertisement

Featured Image: 1st footage/Shutterstock

fbq('track', 'PageView');

fbq('trackSingle', '1321385257908563', 'ViewContent', { content_name: 'linkedin-marketing-hacks', content_category: 'linkedin' }); } });



Source link

Continue Reading

DON'T MISS ANY IMPORTANT NEWS!
Subscribe To our Newsletter
We promise not to spam you. Unsubscribe at any time.
Invalid email address

Trending

en_USEnglish