How eCommerce can harness Deep Learning for Recommendation Systems

How eCommerce can harness Deep Learning for Recommendation Systems

An explosion in the online demand for goods has triggered artificial intelligence applications for greater business value. At Oodles, we enable businesses to capitalize on growing consumer demands by harnessing next-gen technologies such as IoT...

An explosion in the online demand for goods has triggered artificial intelligence applications for greater business value. At Oodles, we enable businesses to capitalize on growing consumer demands by harnessing next-gen technologies such as IoT, cloud computing, and AI. One of the most effective revenue-generating AI techniques for eCommerce businesses is recommendation engines. Although recommenders are already in heavy use for product recommendations, data analysts are now exploring deep learning for recommendation systems. Under AI app development services, deep learning makes a significant contribution to personalized user experience and optimum business growth.

This blog post explores some effective deep learning applications fo reCommerce recommendation systems.

eCommerce Use Cases of Deep Learning based Recommender Systems
Collaborative Filtering Recommendation Systems
Collaborative filtering is one of the most preferable techniques under neural network-based recommendation systems. The technique maps the preferences and recommendations of a specific user base to make recommendations to a similar target audience. The system assumes that people who bought similar items in the past are most likely to buy certain items in the future.

By analyzing the past behavior of like-minded users, collaborative filtering systems recommend products and services to improve cross-selling efforts. According to similar research, collaborative filtering based cross-selling banners can yield a 67% increase in eCommerce RPV.

recommendation systems development

Along with other recommendation methodologies, Amazon readily implements item-to-item collaborative filtering systems.

Also read- Transforming eCommerce Businesses with Robotic Process Automation

Content-based Recommender Systems
As the name suggests, content-based recommender systems sift through the textual content of eCommerce products. The method applies the one-user-at-a-time approach to analyze all the products bought by a certain user to make future recommendations. Once the system analyzes a user’s interests based on his purchase history, it personalizes the shopping experience by recommending appropriate items.

content-based ai recommender ai

By mapping certain keywords from the product text, content-based filtering enables eCommerce businesses-

a) To make precise and accurate recommendations based on a single customer’s purchase history.

b) To scale the recommendation engine to more users and thereby boost ROI.

c) To suggest new products by training the algorithms with selective keywords and demographic details of specific customers.

Also read- Potential Business Applications of Sentiment Analysis Across Industries

Hybrid recommender system
The combination of collaborative and content-based filtering methodologies result in a hybrid recommender system. The system collaborates independent recommendations of two or more AI-powered engines to process a combined recommendation list. Hybrid systems work best while channelizing insights from large datasets to improve performance and accelerate business growth.

hybrid recommender system

Hybrid systems address and support the following eCommerce operations-

a) Resolves the cold start problem which disables a system to generate valuable inferences from either user or item data. By combining multiple recommender systems, the hybrid model strengthens machine learning performance by analyzing more data and making valuable suggestions.

b) Experience collaboration via content by creating a user profile based on the rated items and product details. By correlating keywords and user history, hybrid systems can ease the matching of the right products with the right customers.

How does Oodles deploy deep learning for dynamic recommendation systems?
We, at Oodles AI, enhance eCommerce visitor’s experience and customer loyalty by developing efficient and accurate AI-powered recommendation engines. We deploy custom recommender systems both over the cloud and on-premise business infrastructures. Our AI team has hands-on experience in building machine learning models with large bandwidth to handle dynamic user preferences and interests.

Our recommendation system capabilities extend to the following methodologies-

a) Feature-based approach for personalized shopping experience powered by in-depth analysis of purchase histories and demographic knowledge.

b) Structure-based approach powered by outward and inward aggregation techniques to analyze users’ likes and dislikes to rate and recommend products.

c) Integration of recommendations with chatbots development services to augment business outreach efforts and meaningfully engage customers with valuable products and services.

Talk to our artificial intelligence team to know more about artificial intelligence services.

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ECommerce Mobile App Development | Ecommerce Mobile App Development Services

We are leading ecommerce mobile application development company. Hire our ecommerce mobile app developer for your custom Ecommerce project at competitive rates. **Know about [Top ECommerce Mobile App Development...

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Know about Top ECommerce Mobile App Development Company

Top iPad App Development Companies | Hire iPad App Developers

Top iPad App Development Companies | Hire iPad App Developers

An extensively researched list of top 10+ iPad app developers with ratings & reviews to help find the best custom iPad app development companies around the world. The essence of iOS is growing and TopDevelopers.co with detailed research and...

An extensively researched list of top 10+ iPad app developers with ratings & reviews to help find the best custom iPad app development companies around the world.

The essence of iOS is growing and TopDevelopers.co with detailed research and analysis renders the visitors all the major iPad app development companies. iPad along with the iPhone is a major medium of information for the companies to carry out their work and thus requires a lot of study and research to be done. But as tablets are replacing computers drastically, iPad app development continues to be leader, as iOS apps in it are highly optimized and provide the best possible results.

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Is Low-code or no-code development is future of mobile app development

Is Low-code or no-code development is future of mobile app development

Mobile app development has skyrocketed over these years with the increasing demand of mobile apps for a variety of purposes like entertainment, banking, weather update, health, booking movie tickets, booking a taxi etc. With the latest...

Mobile app development has skyrocketed over these years with the increasing demand of mobile apps for a variety of purposes like entertainment, banking, weather update, health, booking movie tickets, booking a taxi etc. With the latest technologies adopted by mobile app development services, there are different app development approaches which are being practiced. Among them is low-code or no-code development. But will it be the future of mobile app development? Will any mobile application development company start taking this approach as the primary one. Let’s try to find a detailed answer to this question.

But first, let’s understand what this approach exactly is? Well, it is a streamlined approach which involves swift design as well as development with minimal coding, generally relying on different third-party APIs.

Even though there isn’t any single definition of no-code or low-code development because it is actually more of a mindset rather than something which can be directly measured, this mindset has certainly led to a vast community mushrooming up with this mentality. Android app development services are rapidly adopted by this approach. Low-code app innovators are rapidly disrupting all types of various industries. There are a plethora of benefits to these low code platforms and let’s look at this.

1. Less Number of Bugs

It is pretty evident that less code actually means fewer bugs. As simple as that. The entire bug testing phase is actually a major part of modern and latest application development. It is quite inevitable that various issues will come up if there is actually enough code present there. But the best thing regarding low code platforms is that there’s certainly less to test. Also, when they actually tap into APIs, those particular APIs are actually tested by other people.

Lesser number of bugs is better for both users, as well as developers since less amount of time, will be taken up with bug-fixes and troubleshooting. Also, the fast pace of this development approach actually means that if in any case a bug is found, it is generally better just to develop a new iteration rather than fixing it.

2. Significant Lower Costs

Among the most obvious reasons for why you would actually opt for any low code platform is that in reality, low code results in lower cost. Low code development leads to faster app development which saves a lot of time and as a result, lower cost.

It's not only good for companies but also for developers. It certainly cut out the intermediaries, and while they charge less, they use fewer resources and finally come out on top. It is fun for developers because it stops them from actually finding themselves stuck on one particular project which seems to last forever. This is why most of the companies hire app developer who is a well-versed with low-code development.

3. Better Accessibility

The lesser amount of code an application uses, the lesser bandwidth is needed to download it as well as run it. This is quite good news for the people who are based in rural areas or in different developing countries where access to the internet isn’t as prevalent as Western countries. Also, as low code applications can easily be created quite easily than a traditional app, they can easily be released much more swiftly and at a much lower price, and sometimes for free. iPhone app development services follow this approach because it will help in increasing the uptake of their apps as it reduces the entry barrier for every person from lower-income families.

Innovative Development Approach

Among the most promising instances of a low-code or no-code platform is Uber. The apps tap into Google for Maps, Dropbox for storage, Braintree for payments and much more. The most interesting thing about this is that app programming interfaces of APIs which Uber actually relies upon are easily available to anyone who wishes to use them. Uber took those APIs and then used them to create, which was new without requiring to develop each of those particular individual elements, all by themselves. They developed their own brand on top of it by means of looking at how they could actually differentiate themselves from the rest of the others. Mobile app development services should follow this example to create their own low code mobile app which disrupts the market.

The best thing about this is that it inspires innovation. At present, the marketplace actually decides, and only the best applications rise to the top. Also, low code development easily allows developers to iterate much more quickly and can aim for higher more.

The Role of Artificial Intelligence (AI)

Artificial Intelligence is certainly making big waves in different businesses, and as this technology improves further, it will find its way in different other uncharted areas. Among those areas is the low code app development, where it comes in quite useful for a wide range of tasks and actions including the integration of various data sources or just making sense of an entire unstructured or semi-structured data.

Artificial Intelligence is quite great at analysing and conducting trial and error. Hence, it won’t be quite long until the usage of AI becomes quite a standard part of the low code app development. A mobile application development company can find ways to reduce the total amount of code that it is using through AI and flagging potential and possible improvements.

Conclusion

It is quite certain that low-code or no-code app development is the future of app development for one of the simplest reasons that it is quite easier as well as faster and efficiently uses time. It actually doesn’t matter whether Android app development services or iPhone app development services are on-board with this particular change or not. This is quite inevitable as this approach is the path of least resistance. Also, as the inherent demand for low code platforms keeps in growing, developers will certainly find themselves to adopt it.

It is quite a great news as it will push the developers of mobile application development services to become the best. Also, there won’t be any time to redoing it to create the same thing, or any room for sloppy code as well as lengthy development processes which makes the mobile apps redundant even before they are actually finished. Hence, low-code or no-code development will certainly lead the future of mobile app development, and mobile app developers certainly have to get on the bandwagon, one way or the other.