Abstract: Techniques for content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items that are related to a collection of entities. A content item may be considered related to a collection of entities based on various factors, including whether and how often the article references or otherwise covers the entities of the collection, the size of the article, other entities that are covered by the article but that are not in the collection, article recency, or article credibility. Recommending content items may also or instead include determining entities that are related to a collection. An entity can be considered related to a collection based on various factors, such as whether the entity is of the same or similar type to entities of the collection, or whether the entity appears in some article in a relationship with one or more entities of the collection.

Abstract: Techniques for content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items that are related to a collection of entities. A content item may be considered related to a collection of entities based on various factors, including whether and how often the article references or otherwise covers the entities of the collection, the size of the article, other entities that are covered by the article but that are not in the collection, article recency, or article credibility. Recommending content items may also or instead include determining entities that are related to a collection. An entity can be considered related to a collection based on various factors, such as whether the entity is of the same or similar type to entities of the collection, or whether the entity appears in some article in a relationship with one or more entities of the collection.

Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: A method and system for authenticating users while conducting an auction via a computer system. The system can automatically authenticate users who have previously registered with the auction system and who have enabled automatic authentication. When a user is registered, the system may store authentication information in a cookie on the user's computer. When the user decides to perform a transaction (e.g., list item auction or place a bid for an item) that requires authentication, the system retrieves the stored authentication information. If automatic authentication is enabled, then the system allows the transaction to proceed without manual authentication. If, however, automatic authentication is not enabled or the system does not recognize the stored authentication information, then the system requests manual authentication. The use of automatic authentication allows a user to enter information relating to a transaction without manually entering any identification information.

Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: A method and system for authenticating users while conducting an auction via a computer system. The system can automatically authenticate users who have previously registered with the auction system and who have enabled automatic authentication. When a user is registered, the system may store authentication information in a cookie on the user's computer. When the user decides to perform a transaction (e.g., list item auction or place a bid for an item) that requires authentication, the system retrieves the stored authentication information. If automatic authentication is enabled, then the system allows the transaction to proceed without manual authentication. If, however, automatic authentication is not enabled or the system does not recognize the stored authentication information, then the system requests manual authentication. The use of automatic authentication allows a user to enter information relating to a transaction without manually entering any identification information.

Abstract: Techniques for content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items that are related to a collection of entities. A content item may be considered related to a collection of entities based on various factors, including whether and how often the article references or otherwise covers the entities of the collection, the size of the article, other entities that are covered by the article but that are not in the collection, article recency, or article credibility. Recommending content items may also or instead include determining entities that are related to a collection. An entity can be considered related to a collection based on various factors, such as whether the entity is of the same or similar type to entities of the collection, or whether the entity appears in some article in a relationship with one or more entities of the collection.

Abstract: A method and system for authenticating users while conducting an auction via a computer system. The system can automatically authenticate users who have previously registered with the auction system and who have enabled automatic authentication. When a user is registered, the system may store authentication information in a cookie on the user's computer. When the user decides to perform a transaction (e.g., list item auction or place a bid for an item) that requires authentication, the system retrieves the stored authentication information. If automatic authentication is enabled, then the system allows the transaction to proceed without manual authentication. If, however, automatic authentication is not enabled or the system does not recognize the stored authentication information, then the system requests manual authentication. The use of automatic authentication allows a user to enter information relating to a transaction without manually entering any identification information.

Abstract: A method and system for authenticating users while conducting an auction via a computer system. The system can automatically authenticate users who have previously registered with the auction system and who have enabled automatic authentication. When a user is registered, the system may store authentication information in a cookie on the user's computer. When the user decides to perform a transaction (e.g., list item auction or place a bid for an item) that requires authentication, the system retrieves the stored authentication information. If automatic authentication is enabled, then the system allows the transaction to proceed without manual authentication. If, however, automatic authentication is not enabled or the system does not recognize the stored authentication information, then the system requests manual authentication. The use of automatic authentication allows a user to enter information relating to a transaction without manually entering any identification information.

Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: An electronic marketplace system provides various features for assisting users in listing products for sale, locating the listings for a product, and performing related actions. A user wishing to sell a product can browse to an existing description of the product in an electronic catalog and then select an option to create a corresponding listing. The pending listings for a product are preferably displayed or summarized on the product's detail page in the catalog. When no such listings exist, an option to preorder the product from an unspecified seller may be provided, and information regarding the resulting preorders may be displayed on the associated product detail pages to entice potential sellers. In one embodiment, the electronic catalog also serves as a retail sales catalog of a merchant.

Abstract: A computer method and system for publicizing commercial transactions. To publicize a commercial transaction, the system (“e-commerce system”) receives a selection of a purchase transaction for a first item. The e-commerce system identifies an auction for a second item such that the second item is related to the first item. For example, the first item may be a kayak, and the second item may be a kayak cover. The e-commerce system then generates a display description (e.g., web page) that includes information for conducting the purchase transaction for the first item and that includes information relating to the auction for the second item. In this way, a user who views information relating to the purchase transaction can also view information relating to the auction.

Abstract: A computer method and system for publicizing commercial transactions. To publicize a commercial transaction, the system (“e-commerce system”) receives a selection of a purchase transaction for a first item. The e-commerce system identifies an auction for a second item such that the second item is related to the first item. For example, the first item may be a kayak, and the second item may be a kayak cover. The e-commerce system then generates a display description (e.g., web page) that includes information for conducting the purchase transaction for the first item and that includes information relating to the auction for the second item. In this way, a user who views information relating to the purchase transaction can also view information relating to the auction.