Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing a multi-modal machine learning task on a network input that includes text and an image to generate a network output. One of the systems includes a vision-language model (VLM) neural network. The VLM neural network includes a VLM backbone neural network and an attention-based feature adapter. The VLM neural network has access to an external dataset that stores multiple text items.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating digital components. A prompt that includes a query and a set of constraints that limit clauses generated by a language model is generated. The set of constraints includes a summary of a specified source of online content. Multiple candidate digital components are generated using clauses generated by the language model using the summary of the specified source of online content. One or more post-processing operations that evaluate one or more characteristics of the multiple candidate digital components are performed. Each of the multiple candidate digital components are ranked based on the post-processing operations. At least one output digital component that is in a set of highest ranked candidate digital components is served.

Abstract: In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.

Abstract: In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.

Abstract: In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.

Abstract: In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.

Abstract: In a method of generating a search boost vector, a first set of content location identifiers for first content are provided. A second set of content location identifiers for second content are identified. The second content is related to the first content in accordance with one or more predefined criteria. A search boost vector is generated by determining weights corresponding to content location identifiers in the second set of content location identifiers. The search boost vector may also be generated by determining weights corresponding to content location identifiers in the first set of content location identifiers. The predefined criteria may include one or more additional content location identifiers that are co-visited with one or more content location identifiers for the first set of content location identifiers. Co-visits are by a community of users during an interval of time.

Abstract: In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.

Abstract: In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.

Abstract: A method and apparatus for targeting messages to users in a social network, for example by first identifying topics in the social network is provided. One embodiment of a method for discovering topics in a social network includes collecting information from the social network, the information including at least one of: interactions between users of the social network or profile information for the users, determining a global topic model including at least one topic, based on the collected information, and locally refining the global topic model in accordance with the collected information.

Abstract: A method and apparatus for targeting messages to users in a social network, for example by first identifying topics in the social network is provided. One embodiment of a method for discovering topics in a social network includes collecting information from the social network, the information including at least one of: interactions between users of the social network or profile information for the users, determining a global topic model including at least one topic, based on the collected information, and locally refining the global topic model in accordance with the collected information.

Abstract: In a computer-implemented method of providing digital content, a plurality of web pages is identified, where each of the identified web pages has an associated benefit to be accrued as a result of activity by a user on the identified web page. A search query that includes a search term is received, and one or more of the identified web pages is selected based on the benefits to be accrued as the result of the activity on the identified web pages and a relationship between the identified web pages and the search term. Representations of the selected one or more of the identified web pages are displayed on a display device.

Abstract: A method and system to produce and train composite similarity functions for record linkage problems, including product normalization problems, is disclosed. In one embodiment, for a group of products in a plurality of products, a composite similarity function is constructed for the group of products from a weighted set of basis similarity functions. Training records are used to calculate the weights in the weighted set of basis similarity functions in the composite similarity function for the group of products. In another embodiment, a composite similarity function is applied to pairs of training records. The application of the composite similarity function provides a number that can be used to indicate whether two records relate to a common subject. The composite similarity function includes a weighted set of basis similarity functions. A perceptron algorithm is used to modify the weights in the weighted set.

Abstract: A method and apparatus for targeting messages to users in a social network, for example by first identifying topics in the social network is provided. One embodiment of a method for discovering topics in a social network includes collecting information from the social network, the information including at least one of: interactions between users of the social network or profile information for the users, determining a global topic model including at least one topic, based on the collected information, and locally refining the global topic model in accordance with the collected information.

Abstract: In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.