Read Google Patents Search : Guide By Easy Steps

Google Patents Search : Reading and understanding patents filed by Google can be quite challenging at times. This handy guide I found will help you navigate through the complexities and make sense of what those patents are all about. It’s designed to help you avoid the common mistakes that often lead to misunderstandings. So, you’ll be able to grasp the concepts and ideas behind those patents with ease!

How To Understand Google Patents

The following steps will form the foundation upon which you can build a solid understanding of what patents mean.

1. Do Not Scan Google Patents

It’s a common mistake for people to approach reading Google patents like a treasure hunt, searching for hidden secrets about Google’s algorithms.

I’ve seen it too, where some SEOs only focus on one or two sentences that catch their attention, without reading the entire patent. And that’s where misunderstandings can happen.

Reading a patent is more like a journey where you need to understand the entire document to truly grasp its meaning. It’s not just about finding that one golden nugget of insight into Google’s algorithm. Each part of the patent contributes to the overall understanding.

So, taking the time to read the entire patent is essential to avoid drawing incorrect conclusions. By immersing yourself in the patent’s entirety, you’ll gain a clearer understanding of its purpose and what it truly entails.

2. Understand The Context Of The Patent

A patent is indeed like an elephant, with its various sections playing a crucial role in understanding the whole picture.

Just like an elephant’s trunk, big ears, little tail, and thick legs all contribute to its overall identity, each section of a patent serves a purpose in communicating the context of what the patent is all about.

To truly comprehend a patent, it’s essential to read it multiple times. This allows us to step back and see the patent as a whole, rather than focusing on just one part. It’s like taking a step back to appreciate the entire elephant!

By immersing ourselves in the entire patent and understanding how each section relates to the others, we gain a comprehensive understanding of its purpose and significance. It’s all about grasping the context in which the patent fits into the world.

3. Not Every Patent Is About Ranking

It’s important to understand that when it comes to Google patents related to search, it doesn’t necessarily mean they’re solely about ranking. Google Search is a complex system with multiple algorithms and engines that work together.

While ranking is indeed a crucial part of the search algorithm, there are other elements at play as well. The indexing engine, modification engine, query reviser engine, and many more software engines all contribute to the overall functionality of a typical search engine. Each of these components plays an important role in how the search engine operates.

So, it’s essential not to get stuck solely on the ranking aspect of the algorithm. Understanding the entire search process and the different systems working together is key to grasping how it all fits into the bigger picture. As Gary Illyes of Google mentioned, Search consists of thousands of different systems working together.

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Here’s The Important Takeaway:

When reading a patent, it’s crucial to let the patent itself tell us what it’s all about. Making assumptions or assuming something is implied can lead to misunderstandings. Google Patents are typically quite specific and detailed, especially for legal purposes.

Even though Google patents may sometimes seem broad or repetitive, they are intentionally designed to be clear and unambiguous. This ensures that the patent application accurately describes the invention and its specific qualities. So, if something is used for ranking, the patent will explicitly state it because that’s an important aspect to include.

4. Entity & Entities: Understand The Use Of Abstraction

It’s important to consider the context when reading Google patents. Sometimes, the frequency of certain words can lead us to make assumptions, but that can be misleading.

Take the example of the patent “Identifying subjective attributes by analysis of curation signals.” Although the word “entity” is mentioned multiple times, it doesn’t necessarily mean the patent is solely about entities. In this case, the term “entity” is used in a broader sense to refer to a wide range of items or objects that the invention can be applied to.

Google Patents often have a wide scope to ensure that the claims are not limited to one specific use but can be applied in various ways. So, it’s important to consider the overall context and purpose of the patent to fully understand its scope and potential applications.

What The Word Entity Often Means In Patents

The use of the term “entity” in the patent you mentioned serves as a catch-all term to cover a wide range of content or objects. It’s like an abstraction that allows the patent to focus on the functionality of the invention and how it can be applied to various forms of content.

By using this abstraction, the patent avoids being tied down to specific details and instead emphasizes how it can be applied in many different ways. In the case of the patent you shared, it discusses applying the invention to different types of content entities, such as videos, images, audio clips, text-based content like articles or blog posts, and even tangible entities like products, services, organizations, or individuals.

This broad approach ensures that the patent’s claims are not limited to one specific use, giving it the flexibility to be applied across a wide range of scenarios.

Here is an example from the patent where it explicitly refers to video clips as one of the entities that the patent is concerned with:

“In simpler terms, the procedure described in the patent is applied to each item in a specific group of items, such as video clips in a video clip repository. This procedure helps create a mapping that connects subjective attributes (like opinions or preferences) to the items in the group. This mapping is based on the subjective attributes and their relevancy scores.”

In simpler terms, the patent mentions “video clips” as an example of the things to which the invention can be applied. The procedure described in the patent is all about identifying and scoring subjective attributes of these video clips.

The patent you mentioned, titled “Identifying subjective attributes by analysis of curation signals,” is indeed related to a recommender system or search that uses User Generated Content, like comments, to tag digital content with subjective opinions. It’s like harnessing the power of users’ descriptions and opinions to enhance the content discovery process.

For example, the patent talks about how users describing an entity, such as an image or a video, as funny can help surface videos with the subjective quality of humor as part of a recommender system. So, it’s all about leveraging user-generated content to find videos on platforms like YouTube that users and authors have described as funny.

But the application of this patent isn’t limited to just YouTube videos. It can be used in various scenarios where user-generated content intersects, helping to enhance content recommendations and search results.

The patent explicitly mentions the application of the invention in the context of a recommender system in the following passage:

In simpler terms, the patent describes a procedure where each entity in a given set (like video clips in a video clip repository) is analyzed. Based on the subjective attributes and relevancy scores, an inverse mapping is created. This mapping connects subjective attributes to the entities in the set.

This inverse mapping is pretty cool because it allows for efficient identification of all entities in the set that match a specific subjective attribute. For example, it can quickly find all the entities associated with the subjective attribute “funny”. This enables rapid retrieval of relevant entities for keyword searches, playlist creation, ad delivery, training sets for classifiers, and more.

I completely understand what you’re saying. It’s important not to make assumptions when reading Google patents. The patent you mentioned does use the words “entity” and “entities” multiple times, but it’s not directly related to ranking content authors or natural language processing.

Instead, this patent focuses on using user-generated comments to label content, like videos, with subjective descriptions provided by those users. So, it’s all about leveraging the power of user opinions to enhance content discovery and recommendations.

By analyzing these subjective attributes and creating an inverse mapping, the patent helps identify relevant entities that match specific subjective attributes. This makes it easier to find and retrieve content based on user preferences and keyword searches.

5. Know The Parts Of A Patent

Google Patents can be quite complex, but breaking them down into different sections can help us understand them better. The Abstract is like a concise summary that gives us a quick overview of what the patent is about. It’s important not to skip this part because it sets the foundation for understanding the invention.

The Background section provides context and explains how the invention fits into the larger picture. It helps us understand what part of the system it belongs to and what it aims to achieve.

Then we have the Summary, which goes into more detail than the Abstract. It outlines the primary objectives, features, and the nitty-gritty details of how the invention works. While it can be overwhelming with all the technical descriptions, reading it a couple of times can help absorb the main ideas.

So, don’t worry if you don’t understand everything right away. Sometimes, reading the Summary is more about grasping the concepts and getting a general sense of what the patent is all about.

The Brief Description of the Drawings section in Google patents is really important. It provides valuable information about what each drawing represents. These descriptions can be as simple as a single sentence, but they play a crucial role in helping us understand the function of the patent invention.

For example, let’s say we have a patent with three drawings. The descriptions could go something like this:

“FIG. 1 is a diagram that shows how to obtain an authoritative search result.”
“FIG. 2 is a diagram that illustrates the resources visited during a viewing session.”
“FIG. 3 is a flow chart that outlines the process for adjusting search result scores.”

These descriptions are like little nuggets of information that give us a sharper understanding of what the patent is all about. They can reveal surprising details that may not be apparent from just a superficial reading.

The Detailed Description section of a patent is where things get really interesting. It provides an in-depth explanation of the invention, using the illustrations as a guide. This section can include technical details, how the invention works, its organization in relation to other parts, and its potential applications.

The goal of the Detailed Description is to be thorough enough that someone skilled in the field could replicate the invention, while still being broad enough for different applications. It’s like a comprehensive guide that covers all the ins and outs of the invention.

And then we have the Embodiment Examples, which are specific instances or implementations of the invention. These examples help illustrate how the invention can be used in real-world scenarios. When you come across the word “embodiment,” think of it as showing different tangible ways the invention can be made or used.

The Claims section is where things get legal. It defines the scope of protection that the patent is seeking and highlights what makes the invention unique and different from others. It’s definitely an important part not to be skipped!

Lastly, the Citations section lists other relevant Google patents. It acknowledges similar inventions but also emphasizes how this invention improves upon what came before. It’s like giving credit to the past while showcasing the innovation of the present.

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Firm Starting Point For Reading Google Patents

Reading Google patents can sometimes feel like deciphering a complex code, but don’t worry, it’s completely normal to find them opaque and challenging at first. Even experts in the field can struggle with them sometimes.

Jeff offered this advice:

Google Patents is a fantastic resource for diving deeper into patents. One cool feature is the “non-patent literature” search on Google Scholar. It allows you to find articles that reference or support your understanding of a patent. This additional information can provide valuable context and insights.

You’re spot on about the importance of building context when reading patents. Sometimes, understanding a patent in isolation can be quite challenging. That’s why it’s crucial to collect and review connected patent and non-patent citations, as well as child/priority patents and applications. These pieces of information can help paint a clearer picture and make the patent more comprehensible.

It’s fantastic that you reached out to Jeff Coyle, who has extensive experience with Google patents and is an expert in the field. Getting insights from someone like him can be incredibly helpful in understanding the nuances of patent reading.

One great tip Jeff shared is to look at other Google patents filed by the same inventor. This can give you a better idea of their areas of expertise and what their inventions tend to focus on. It’s like getting a sneak peek into their inventive mind!

And yes, patents do have their own unique language and structure. It’s similar to learning a new language, where looking up unfamiliar words and understanding the structure of the text is crucial. With practice and persistence, you’ll definitely become more proficient in reading Google patents than many others in the SEO industry.


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