Abstract: Categorizing documents is disclosed. A hierarchy of topics is received. A seed for each topic is determined. One or more documents is received. The seed is used to evaluate the relevance of each document to one or more of the received topics. One or more topics is associated with each document.

Abstract: Delivering a search result is disclosed. A category is associated with a document based at least in part on one or more scores that measure the relevance of that document to a base category. A search query is obtained. One or more results is delivered in a manner that includes an indication of at least one category with which the result is associated.

Abstract: Disclose are methods for evaluating a user's interests and making gift recommendations using social media data. Interests and attributes of a user may be detected from social media content and products corresponding to the interests and attributes may be selected and presented as gift recommendations for the user. Methods are disclosed for resolving ambiguity as to interests reflected by textual data in social media content. Also disclosed are methods for inferring a user's interests from the interests of friends of the user.

Abstract: Scoring a document is disclosed. One or more metrics is determined in a forward direction. One or more backwards metrics is determined. The document is scored based at least in part on a combination of the metrics.

Abstract: Determining the relevance of a destination page to a topic is disclosed. A plurality of paths that include arrivals at a destination page are determined. A plurality of paths that include arrivals at the destination page are determined. A proportion of the paths that include arrivals at the destination page that also include a preceding arrival at a distinguished page are determined. The relevance of the destination page based at least in part on the proportion is determined.

Abstract: Determining the relevance of a page to a topic in a hierarchy is disclosed. A plurality of paths that include arrivals at the page is determined. A proportion of the paths that include relevant arrivals at the page is determined. And, the relevance of the page is determined based at least in part on the proportion.

Abstract: Categorizing documents is disclosed. A hierarchy of topics is received. A seed for each topic is determined. One or more documents is received. The seed is used to evaluate the relevance of each document to one or more of the received topics. One or more topics is associated with each document.

Abstract: Scoring a document is disclosed. One or more metrics is determined in a forward direction. One or more backwards metrics is determined. The document is scored based at least in part on a combination of the metrics.

Abstract: Delivering search results is disclosed. A search term is obtained and categories are determined. Results specific to each category are obtained and ranked based on a criterion that is specific to each category. The results are ranked based at least in part on a topic dependent score and may also be ranked in part on a topic independent score.

Abstract: Scoring a document is disclosed. One or more metrics is determined in a forward direction. One or more backwards metrics is determined. The document is scored based at least in part on a combination of the metrics.

Abstract: A hybrid machine/human computing arrangement which advantageously involves humans to assist a computer to solve particular tasks, allowing the computer to solve the tasks more efficiently. In one embodiment, a computer system decomposes a task, such as, for example, image or speech comparison, into subtasks for human performance, and requests the performances. The computer system programmatically conveys the request to a central coordinating server of the hybrid machine/human computing arrangement, which in turn dispatches the subtasks to personal computers operated by the humans. The humans perform the subtasks and provide the results back to the server, which receives the responses, and generates a result for the task based at least in part on the results of the human performances.

Abstract: A hybrid machine/human computing arrangement which advantageously involves humans to assist a computer to solve particular tasks, allowing the computer to solve the tasks more efficiently. In one embodiment, a computer system decomposes a task, such as, for example, image or speech comparison, into subtasks for human performance, and requests the performances. The computer system programmatically conveys the request to a central coordinating server of the hybrid machine/human computing arrangement, which in turn dispatches the subtasks to personal computers operated by the humans. The humans perform the subtasks and provide the results back to the server, which receives the responses, and generates a result for the task based at least in part on the results of the human performances.

Abstract: Operating on a web data store is disclosed. The web data store includes link and page information. A web operation to be applied to the web data store is sent. Results of the web operation applied to the web data store is received. Optionally, a plurality of operators is composed into an expression.