172 results about "Product description" patented technology

An Internet-based server with speech support for enhanced interactivity is disclosed. This server hosts a server-side speech recognition engine and additional linguistic and database functions that cooperate to provide enhanced interactivity for clients so that their browsing experience is more satisfying, efficient and productive. This human-like interactivity which allows the user to ask queries about topics that range from customer delivery, product descriptions, payment details, is facilitated by the allowing the user to articulate the his or her questions directly in his or her natural language. The answer typically provided in real-time, can also be interfaced and integrated with existing telephone, e-mail and other mixed media services to provide a single point of interactivity for the user when browsing at a web-site.

An improved user interface and method are provided for presenting recommendations to a user when the user adds an item to a shopping cart. In response to the shopping cart add event, a page generation process generates and returns a page that includes a recommendations portion and a condensed view of the shopping cart. The recommendations portion preferably includes multiple recommendation sections, each of which displays a different respective set of recommended items selected according to a different respective recommendation or selection algorithm (e.g., recommendations based on shopping cart contents, recommendations based on purchase history, etc.). The condensed shopping cart view preferably lacks controls for editing the shopping cart, and lacks certain types of product information, making more screen real estate available for the display of the recommendations content. A link to a full shopping cart page allows the user to edit the shopping cart and view expanded product descriptions.

A system for displaying products or services for purchase on any document displayed on any computer device, comprising conducting a statistical frequency analysis of the word occurrence in the document to determine the primary subject matter of the document and/or keywords in the document, selecting products which are relevant to the subject matter and keywords of the document, either by manual selection or by automatic selection. Conducting a statistical frequency analysis of the word occurrence in the product or service descriptions, to determine the keywords in the product descriptions, and matching the keywords from the document with the keywords from the product descriptions accomplish automatic selection.

A user is provided with access to a preferred online store through one or more networks. The online store has one or more products each with a product description and a price. The product description and price are provided to the user. A computer receives one or more selection requests for one or more of the products (selected products) from the user. The user is provided with one or more bid conditions for the selected product which the user selects from. The user is then provided one or more second bids. Each of the second bids originates from one or more other stores that participated in an auction and each of the second bids conforms to the bid conditions selected by the user.

The invention discloses a text similarity computing method. The method comprises the following steps of text representation and text similarity computing. The aim of text representation is that a text document of product description is converted into a vector for description. In the text similarity computing method, natural language processing technologies such as Chinese words segmentation, stop word removing, word frequency statistics and the like are used for converting all the description texts of products into vectors; the text similarity is computed by a method based on a Hamming distance, and the other advantage of the Hamming distance is that the computing speed is very high. Due to the fact that the method of statistical machine learning is used, so that the text similarity computing method is more stable and effective compared with a method based on rules.

A system and related techniques generate and maintain a unified product index, to perform searching and browsing in an online product, service, content or information catalog. A user investigating, for example, a set of retail offerings of digital cameras may for instance browse through a Web site layout or taxonomy to locate products of interest, such as cameras having resolution in the range of 3-4 megapixels or in the price range of $200-300. Alternatively, the user may input search terms in a search dialogue box to locate those or other features. Unlike conventional e-commerce platforms in which search may be performed against structured databases while browsing may access unstructured HTML or other descriptive material, according to the invention navigation and searching may be integrated and both access a structured index derived from product descriptions as well as traditional SQL or other structured data. A user may thus transparently move between browsing the Web site and searching the Web site, refining their search or browsing activity in a seamless fashion. The HTML or other unstructured data may in one regard be processed by an index engine to identify product attributes such as type (electronics), size, price, weight or other specifications as well as attribute values, which may be sorted or stored in a separate table. A set of results generated by conducting an initial search may thus be continued or refine by further browsing down to a particular product or other level of detail. Conversely a user who has browsed to a given level of detail, such as digital camcorders priced less than $700, may initiate a search through products at that level of the hierarchy without resetting search terms or position in the taxonomy. Greater ease of use, more efficient location of products or services and less dead-end pathways are thus achieved.

A system and method is described for large-scale, automated classification of products. The system and method receives information about products, wherein such information includes one or more text metadata fields associated with each product, receives a set of categories, and automatically selects one or more categories from the set of categories to which each product belongs based upon at least one of the one or more text metadata fields associated with each product. A machine learning classifier may be used to automatically select the one or more categories to which each product belongs by operating upon a feature vector for each product derived from text metadata fields of the product description. The machine learning classifier may be trained using a set of pre-categorized product descriptions. The product-category associations generated by the system and method can be used to improve search engine results or product recommendations to consumers.

A software-based product identifier includes a description module that collects product description; a parsing module that parses the product description based on recognized attributes, don't care attributes, and unrecognized attributes. The product is identified and mapped to a predefined product based at least in part on the recognized attributes. The unrecognized attribute or attributes may serve as candidate model numbers for previously unknown products.

A system for providing integrated system solutions includes a set of process descriptions; a set of work product descriptions; and engagement models collecting the process descriptions and work product descriptions into a models for implementing typical projects addressing marketplace requirements. A systems integration method includes the steps of defining an engagement model which will be used to address a market place requirement; utilizing the engagement model to create an engagement template which specifically addresses client requirements within the market place; and measuring, monitoring and controlling client engagements based upon the engagement model.

System and method for contextual advertising in which a video file is encoded with cue points, and an XML file containing contextual advertisement information for at least three products is generated. When a first cue point is reached, the product image, product name and product description for the first contextual advertisement are encapsulated in a link to the product URL and displayed in a bottom panel. As each successive cue point is reached, the product image, product name and product description for each successive contextual advertisement are encapsulated in a link to the product URL for that contextual advertisement and displayed in the bottom panel, and the product image and product name for the contextual advertisement last appearing in the bottom panel are encapsulated in a link to the product URL and added to the side panel.

Method is described that enables a creator user, such as a consumer, to define a product over a communications network making use of a client device to customize a product description in relation to available retailer information, and to customize, and/or cause the assignment of a customized, product identifier to said product description, and by causing the resulting product information to be stored, and made available, through a server system so as to enable creator users, or other consumers, to further define products and/or to place product order(s) at selected retail location(s). Retailer users may use a client device to define retailer information for near real time use by system users. Retail users may use a client device to input information to the system and, in turn, have the system send back information to allow providing, near real time, information regarding, identification, manufacture and/or sale of, product order(s).

A method and system for using a dynamically displayed bar code on a wireless device such as a cell phone or PDS, and a bar code reader to obtain a particular good and service, includes the steps of: (1) inputting a description of the good or service into the wireless device; (2) dynamically outputting a bar code corresponding to the description on the display screen of the wireless device; (3) positioning the display screen of the wireless device at a bar code reader; (4) scanning the bar code at the bar code reader; and (5) delivering the good and service in response to the scanning step. The wireless device includes location-identifying means whereby the product can be delivered to the location of the user. The system includes a database of prestored product descriptions and corresponding bar codes which is referenced by the wireless device.

Relative to a given product or products, one or more attributes and, for each attribute, a plurality of possible attribute values, are defined. For a given product and attribute, one or more descriptions of the product are obtained and analyzed to determine the correspondence of the description(s), and hence the product itself, to each of the plurality of possible attribute values. In one embodiment, this analysis is based on previously-labeled training data. A knowledge base can be populated with information identifying the products and their correspondence to the plurality of possible attribute values for each attribute. This technique may be used to develop a profile of an entity, which in turn may be used to develop appropriate marketing messages or recommendations for other products.

A method of enabling in-store pick up of customized goods ordered online is described. The method may include receiving an online purchase order at a website including a customized product description and a brick-and-mortar store identifier. The method may also include sending the purchase order to a computing device associated with the brick-and-mortar store identifier and receiving an in-stock confirmation at the computing device. The method may also include receiving an order completed confirmation at the computing device and sending a customer correspondence that includes a pick-up time designating when a customer may pick up the customized product at the brick-and-mortar store. The method may also include receiving an in-store pick up confirmation at the computing device.

A system for marketing products to customers includes an Internet-connected server and software executing on the server from a non-transitory physical medium, the software providing display of links to one or more interactive video showcases; tracking consumer actions during video consumption of a video showcase; re-purposing focus of video content based on the results of the tracked consumer actions; redirecting consumers to a product description page based on consumer selection of a product during video consumption; and conducting one or more transactions through the portal relative to products selected for purchase by the consumers.

A procurement system is disclosed to make a category behave like a specific product that can be chosen and requested through the procurement system. A catalog is easily constructed which: includes all categories of products and services that an organization may procure; inserts specific pertinent products and services that the organization may want to maintain under each category; productizes categories that the organization may allow a user to request; and hides the categories and products that the organization may not allow users in certain positions to view. A procurement system with productized categories accommodates both novice and expert users. Broad product and service requests can be forwarded to designated experts for order assistance. Expert requesters and purchases can refine requests to provide detailed and specific product descriptions.