Challenges faced by eCommerce Sellers and their best solutions

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Overall the net has a rather casual approach however, you can't manage to create your online shop appear casual or supply services at a disorganized way. At the age, wherever your day to day life is dependent on this web of items (IoT), the Ecommerce sector is just one of the brightest stars. In accordance with the figures, that the eCommerce earnings are estimated to achieve over $600 billion industry at the end of 2019. Looking into the statistics, we could declare that eCommerce is absolutely a potent industry with best options. Since eCommerce is a rewarding business, it does not mean that each and every ecommerce seller round the clock is always making money. There are a variety of challenges faced by not just the small but large companies while promoting online. Beginning an eCommerce company is a simple job when you've got the ideal solution, advertising strategies and understand where to market, but growing and moving into the very best is the toughest part. You've ...
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Future of SEO: What do natural language processing and passage indexing mean?

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Recently, Google has made updates that it will be going to provide SEOs with more freedom and liberty to focus on users instead of bots. Google’s latest update is all about expanding the use of natural language understanding algorithms. These algorithms will represent a major evolution in determining what content will get surfaced in the search results. In turn, these algorithms of Google will impact how people are approaching content and optimization.



Google is also going to start ranking passages in search results rather than only ranking the web pages in search engines. Let’s understand this in a detailed manner to get a complete insight into it. Google will now be able to surface and serve passages from the content. It will also include in the SERPs if they think it is the best match for the search query.

Changes in BERT

Google believes that approximately 7% of all search queries will get affected by this sort of change if it came out into rolling. One of the big consequences of this would be related to BERT factors. This means that Google ‘understands words in context’ rather than indexing words. BERT will go from 10% to nearly 100% of all queries which is again a big change. BERT is mainly a neural network-based technique that is used for natural language pre-training that Google and other search engines use. This huge application of BERT will help in improving the understanding of the content and search intent of Google.

Mis-spelling improvements

According to Google, one in ten search queries are misspelled. For improving the search experience for these queries, Google is also in process of applying advancements in language understanding. This will help to model the edge cases in major spelling errors.

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