Bong Long Reader

Revolutionizing search with human-like language understanding.

➤BERT Stands for Bidirectional Encoder Representations from Transformers:
Developed by Google, BERT is a deep learning algorithm focused on natural language processing (NLP) that understands the context of words in search queries.
➤Introduced by Google in 2019:
Google launched BERT in October 2019, marking one of the biggest improvements to search in the past five years, impacting 1 in 10 searches initially.
➤Understands the Full Context of Words:
Unlike traditional models that read words left to right or right to left, BERT reads in both directions, allowing it to grasp the full meaning of each word based on surrounding text.
➤Improves Search Query Interpretation:
BERT helps Google understand longer, more conversational, and natural queries, which are common with voice search and mobile usage.
➤Makes Search Results More Relevant:
With BERT, Google can deliver more accurate search results, especially for queries with prepositions and subtle language nuances.
➤Built Using Transformer Technology:
BERT uses transformers, a deep learning model architecture that processes all words in a sentence at once, improving comprehension and speed.
➤Works Best for Informational Queries:
BERT is particularly useful for informational search intents, helping users find precise answers to complex or ambiguous questions.
➤Supports Over 70 Languages:
BERT has been rolled out globally and supports multiple languages, making search smarter worldwide, not just in English.
➤Boosts Featured Snippets Accuracy:
BERT enhances the quality of featured snippets by better understanding the content of web pages and matching them with user intent.
➤Part of Google’s Ongoing AI Evolution in Search:
BERT represents a major step in Google’s use of AI, followed by MUM (Multitask Unified Model), pushing the boundaries of search intelligence and usability.