Facebook, Inc. (Menlo Park, CA)
This invention concerns the ranking of relevancy in information retrieval program. This invention is a system and method of ranking products online.
Shopping online has been made possible through the internet. This is due to its ease of use and speed of processing. It allows users to find the seller of a product on the internet and gives users the capability to compare prices in a matter of minutes. It has made shopping online efficient and easy, as compared to traditional shopping. Shoppers can make use of search algorithms to locate any product from the many items accessible on the internet. A buyer can easily find information about the item they are looking for and then buy it.
But, the information accessible on the Internet is not structured and manageable. Search engines deliver results that have been separated to show results which are relevant to users, to help them shop online for items. Search engines employ context-based analysis of data such as link analysis, page-ranking and other algorithms to sort results. For instance, results are sorted based on pages that are most frequently visited.
But, online shopping is distinct from the normal web searches. A query for “blue shirt” using the existing methods of searching would result in all types of results that include reviews, business pages, reviews, and even wikipedia entries. This means the search results might not correspond to the user intent–where the customer would expect to see a list with merchants offering blue colored shirts on the internet with prices and pictures. Therefore, using the technology of searching for content or web pages to shop online may result in irrelevant results. The existing techniques for shopping online don’t sort search results according to the attributes of the product like brand, style or trend. Ranking productsbelonging to a particular class, based on their attributes, enables the user to compare different products and helps him/her to make the right decision. This is due to the fact that the buyer might be interested in items from a brand that is well-known, products that are sold in a particular area, top-selling styles, new items, and so on. These aspects are crucial in determining the quality or value of items belonging to a specific class. The product’s relevance to users is known as the goodness. The goodness score, also known as will show how well a product performs with respect to its characteristics on the market. To offer the most suitable options for the user.
A method to rank the outcomes of a search on online shopping is necessary in light of the discussion above. It must be able to provide the most effective results, taking into account the characteristics of supply and market demand of products within a category.
The present invention is an approach to ranking one or more products in online shopping. The method includes generating a first list of the one or more items that are ranked based on at minimum one term in a search query received from the user. The products are ranked based on the term score for each of the one or more products in order to produce a ranking list. A number of attributes are identified that are associated with the one or more products. One or more of the attributes consisting of atleast one of a brand name, store name, a design, and price. Based on the characteristics that are associated with the product the attribute score is given to every one or more of them. The attribute score and term score are utilized to calculate the relevance score. The marginal relevance score of each of the one or more products is determined based on at least one of the relevance score, the ranking of the one or more products, or a degree of similarity of specific attributes of the products. Microprocessors are used to rank the products on the basis of their marginal relevance score.
The present invention is also related to a method to rank one or more products on the internet. The method includes receiving a list of one or more products. To create a list of first-ranked items of the list, the one or more items are ranked according to their relevancy to a search query. The discounted cumulative gain (DCG) score for one or more items in the second list is determined by calculating the marginal relevance score. Ranking of the one or moreproducts in the second list is modified based on at least one of a cost per click (CPC) associated with each of the one or more products, a loss of DCG score incurred due to modification of ranking of the one or more products, or a predeterminedthreshold value. A microprocessor executes the steps.
The present invention is also related to a method of ranking some or all of the items in online shopping. The system comprises a feature extraction module that is designed to produce a first list of the products that are ranked based on at minimum one term in a query from the user. The products are ranked in the initial list based on a specific term score associated with each of the products to generate a first ranking list. Furthermore, the feature extraction module can be set up to detect any or all attributes associated with one or multiple items. These attributes are at minimum one of the following: a brand name; an address for the store; a design; and a price. The system also includes the computing module, which is configured to calculate an attribute score for each attributes that are associated to each products in accordance with one or more features that are associated with the attributes. The computing module may also be configured to calculate a relevancy score by using the attribute score and the term score. Further, the computing module can be set up to compute a marginal relevancy score for each item based on at minimum one of the relevantscores, the ranking of one or two products or a degree or similarity of a particular aspects between the one or more products. Based on the marginal relevance score, the computer calculates the discount cumulative gain score (DCG) for each item on the second list. A product-ranking module is also part of the system. This module ranks the products in accordance with the marginal relevance score. The system also has a revenue manager that can alter the ranking of one or more of the products on the second list based on at minimum one of costs-per-click (CPC) as well as the loss of DCG score due to a change to the one/more products or the predetermined threshold.
This invention offers a variety of advantages. Users can browse through products with different features by allowing the search results to be varied depending on the attributes of the product. One might wish to look at different products that have different attributes. Furthermore, the items are re-ranked such that revenue of search engine can be increased. A compromise between relevancy and maximization of the revenue allows the search engine to grow its revenues without compromising the relevance of the products.Click here to view the patent on USPTO website.
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A patent is granted by the government to protect the idea. It gives the inventor the sole right to create, use and sell the idea. Society benefits when new technology is introduced for sale. Benefits can be realized in directly, in that it may allow individuals to achieve previously unattainable things. Or indirectly due to the opportunities for economic growth (business expansion and job creation) which the invention provides.
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The first step in obtaining your patent is to perform the patent search. You can do a google patent search or do a USPTO search. Patent-pending is the name used to describe the product included in the patent application. It is possible to search the public pair to find the patent application. After the patent office approves your application, you will be able to do search for a patent number and find the patent that was issued. Your product will now be patented. It is also possible to use the USPTO search engine. Read on for more details. Patent lawyers or a patent attorney can advise you on the procedure. In the US patents are issued by the US patent and trademark office or by the United States patent and trademark office, which is also responsible for examining trademark applications.
Are you interested in finding other similar patents? These are the steps:
1. Brainstorm terms that describe your invention, based on its purpose, composition, and use.
Write down a short detailed explanation of your invention. Do not use generic terms such as “device”, “process,” or “system”. Think about synonyms for the terms you picked initially. Then, take note of important technical terms as well as keywords.
Use the following questions to help you find key words or concepts.
- What is the purpose of the invention Is it a utilitarian device or an ornamental design?
- Invention is a method to make something or carry out an action? Or is it a thing or procedure?
- What is the composition and function of the invention? What is the physical composition of the invention?
- What’s the objective of this invention?
- What are the technical terms and terms that describe an invention’s nature? To help you find the right terms, refer to an online dictionary of technical terms.
2. These terms will enable you to look up pertinent Cooperative Patent Classifications using the Classification Search Tool. If you’re unable to find the right classification to describe your invention, scan through the class Schemas (class schedules) and then try again. If you don’t see any results using the Classification Text Search, you may want to consider replacing the words to describe your invention using synonyms.
3. Check the CPC Classification Definition for confirmation of the CPC classification you’ve found. If the classification you have selected has a blue box with “D” and “D”, then the link to the CPC classification definition will be provided. CPC classification definitions will aid you in determining the classification’s definition so that you can select the most relevant. In addition the definitions may include search tips and other suggestions which could be helpful for further investigation.
4. The Patents Full-Text Database and the Image Database allow you to find patent documents that are accompanied by the CPC classification. By focusing your search on abstracts and representative drawings you can narrow your search for the most relevant patent publications.
5. Take advantage of this list of most relevant patent publications to study each in detail for the similarities to your idea. Be sure to read the specification and claims. Refer to the applicant and patent examiner for any additional patents.
6. You can retrieve patent applications published in the past that fit the CPC classification you chose in Step 3. You may also employ the same strategy of searching you employed in Step 4 to narrow your search results to the most relevant patents by reading the abstracts and drawings on each page. After that, take a close look at the published patent applications, paying particular attention to the claims as well as additional drawings.
7. You can look up additional US patent publications using keyword searches in AppFT or PatFT databases, and also search for patents classified as that are not issued by the United States according to below. Also, you can utilize web search engines to search non-patent literature disclosures about inventions. Here are a few examples:
- Add keywords to your search. Keyword searches may turn up documents that are not well-categorized or have missed classifications during Step 2. For example, US patent examiners often supplement their classification searches with keyword searches. Think about the use of technical engineering terminology rather than everyday words.
- Search for foreign patents using the CPC classification. Then, re-run the search using international patent office search engines such as Espacenet, the European Patent Office’s worldwide patent publication database of over 130 million patent publications. Other national databases include:
- European Patent Office (EPO) provides esp@cenet to access a network of Europe’s patent databases with access to machine translation of European patents.
- Japan Patent Office (JPO) – with access to machine translations of Japanese patents.
- World Intellectual Property Organization (WIPO) offers PATENTSCOPE with a full-text search of published international patent applications and machine translations for some documents, as well as a list of international patent databases.
- Korean Intellectual Property Rights Information Service (KIPRIS)
- State Intellectual Property Office (SIPO) with machine translation of Chinese patents.
- Other International Intellectual Property Offices with online patent databases include Australia, Canada, Denmark, Finland, France, Germany, Great Britain, India, Israel, Netherlands, Norway, Sweden, Switzerland, and Taiwan.
- Search non-patent literature. Inventions can be made public in many non-patent publications. It is recommended that you search journals, books, websites, technical catalogs, conference proceedings, and other print and electronic publications.
To review your search, you can hire a registered patent attorney to assist. A preliminary search will help one better prepare to talk about their invention and other related inventions with a professional patent attorney. In addition, the attorney will not spend too much time or money on patenting basics.