Method, system and graphical user interface for providing reviews for a product

Abstract

Systems and methods for clustering user reviews are disclosed in which a plurality of user reviews are extracted from electronic documents. The electronic documents contain user reviews of a plurality of items of interest. A set of user reviews is identified in the plurality of user reviews as being associated with the same item of interest in the plurality of items of interest. Item identifying information included in the electronic documents is used for this identification. The set of user reviews is then associated with the same item of interest. Examples of item identifying information include unique product identifiers, brand names, model numbers, and category information. In some instances, the item identifying information is extracted from metadata included in the electronic document. In some instances, the electronic documents are obtained from e-commerce websites or product-review websites.

Description

Technical field [0001] The embodiments of the present disclosure generally relate to search engines. More specifically, embodiments of the present disclosure relate to methods, systems, and graphical user interfaces for finding, collecting, and providing product reviews. Background technique [0002] Many Internet users search for products (such as Canon digital cameras) or services (hotel rooms in Hawaii) before they get them. At present, the method adopted by many users is to use Internet search engines. The user issues a search query that includes the name of the product or service plus items such as "comments", and filters to view a large number of results returned by the search engine. Although some of these results do include reviews about the product, many results do not include reviews about the product. In addition, it is difficult to view all the comments. In short, the process is quite cumbersome, time-consuming, and inefficient. [0003] Optionally, users can go to we...

AI Technical Summary

Problems solved by technology

However, some of these sites aggregate reviews manually, which is inefficient and limits the number of reviews that can be collected for each product

Furthermore, all of these sites are very limited in the tools they provide users to navigate through the comments

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