Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a query term is obtained from a natural language query. A table summary is prepared based on the query term and a formula of the natural language query is generated based on the table summary. A result is generated based on the formula. Responsive to receiving negative feedback to the result, one or more of the table summary or the formula is disassociated from the query term.

Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of characteristics based on the grid range. A logic operation may then be determined to apply on the plurality of characteristics to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.

Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of characteristics based on the grid range. A logic operation may then be determined to apply on the plurality of characteristics to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.

Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of data entities based on the grid range. A logic operation may then be determined to apply on the plurality of data entities to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.

Abstract: Implementations disclose crowdsourcing descriptor selection. A method includes receiving, by a processor, a reference to an internet resource from a device, wherein the reference to the internet resource is a uniform resource locator (URL) provided in a post interface, wherein the post interface presents posts to a social network, determining, by the processor, a plurality of descriptors indicative of content within the internet resource, sending, by the processor, the plurality of descriptors to the device for presentation in the post interface according to a priority order, receiving, via the post interface a selection of one of the plurality of descriptors, and generating, by the processor, a post to the social network, the generated post comprising the selected one of the plurality of descriptors.

Abstract: Review creation. Identifying at least one reviewable object from user-generated content. Prompting a user associated with the user-generated content to select a reviewable object for review. Receiving, in response to the prompting, selection of a prompted reviewable object. Presenting a review template to the user for review of the selected reviewable object. Receiving input to the review template. Storing the received input as a review of the reviewable object.

Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of data entities based on the grid range. A logic operation may then be determined to apply on the plurality of data entities to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.

Abstract: In one aspect, a method is provided, including the following method operations: receiving a request to share a content page in a post to a social network site; analyzing the content page to identify a plurality of descriptive content; presenting a draft post, the draft post providing options for associating particular ones of the descriptive content for integration with the post; receiving a selection of at least one of the particular ones of the descriptive content; generating the post to the social network site based on the selection; wherein the method is executed by at least one processor.

Abstract: A method of setting privacy level values for a user. The method includes receiving a designation of a relative privacy level for the user and receiving a selection of a group of other users for the user. Plural sets of privacy level values are associated with the group of other users. The method also includes setting privacy level values for the user based on the designation of the relative privacy level and the plural sets of privacy level values associated with the selected group of other users.

Abstract: A method of setting privacy level values for a user. The method includes receiving a designation of a relative privacy level for the user and receiving a selection of a group of other users for the user. Plural sets of privacy level values are associated with the group of other users. The method also includes setting privacy level values for the user based on the designation of the relative privacy level and the plural sets of privacy level values associated with the selected group of other users.

Abstract: A method for assessing sharing of items within a social network is provided. The method includes identifying a first sharing of a social item by a first user of a social network, determining one or more second sharings of the social item by one or more second users, the one or more second sharings being based on the first sharing. The method also includes determining a sharing score associated with the first user based on a number of the one or more second sharings, and updating a data structure based on the determined sharing score associated with the first user. The data structure stores respective sharing scores associated with the plurality of users of the social network. Systems and machine-readable media are also provided.

Abstract: A method of setting privacy level values for a user. The method includes receiving a designation of a relative privacy level for the user and receiving a selection of a group of other users for the user. Plural sets of privacy level values are associated with the group of other users. The method also includes setting privacy level values for the user based on the designation of the relative privacy level and the plural sets of privacy level values associated with the selected group of other users.

Abstract: In a data mining system, data is gathered into a data store using, e.g., a Web crawler. The data is classified into entities. Data miners use rules to process the entities and append respective keys to the entities representing characteristics of the entities as derived from rules embodied in the miners. With these keys, characteristics of entities as defined by disparate expert authors of the data miners are identified for use in responding to complex data requests from customers.

Abstract: A device removal system securely removes an item of content or a device from a content-protected home network. An authorization table maintains a list of devices in the content-protected home network in addition to removed devices. The authorization table also maintains a list of deleted content. Through management of various cryptographic keys and techniques, devices and content will not play on a content-protected home network after they have been removed. A secret network ID reduces the possibility of unauthorized playing of content on the content-protected home network. A web server may join the content-protected home network as a device, providing backup for the secret network ID. Otherwise, the device manufacturer will provide the secret network ID in case of a device failure. Storing a verification value in each device ensures integrity of critical cryptographic values. This verification value is compared to network values to ensure network values have not been corrupted.

Abstract: A logical directory ranking system ranks documents or web pages utilizing logical directories. The present system groups together compound documents as a single information node with one or more leaves, constructing a logical directory graph. URLs can be grouped at a level of granularity below an individual directory. For example, the URLs may be grouped together on the basis of hostname, domain, or any level of the hierarchy of the URLs. Edges in the logical directory graph are formed by links between the logical directories. Edges have weights corresponding to the number of links between logical directories. Nodes have weights corresponding to the number of web pages or leaves represented by a node. A ranking level is determined for each node as a function of the node weight and the edge weight. The ranking level is then applied to each URL that the node represents.

Abstract: A Web server stores a table of Web page inlinks. When a Web page is accessed and a user wants to access other pages related to the accessed page, the user requests the table of inlinks, and from it generates a list of sibling links to the accessed page, the sibling links being outlinks of one or more of the inlinks in the table.

Abstract: A modular scoring system using rank aggregation merges search results into an ordered list of results using many different features of documents. The ranking functions of the present system can easily be customized to the needs of a particular corpus or collection of users such as an intranet. Rank aggregation is independent of the underlying score distributions between the different factors, and can be applied to merge any set of ranking functions. Rank aggregation holds the advantage of combining the influence of many different heuristic factors in a robust way to produce high-quality results for queries. The modular scoring system combines factors such as indegree, page ranking, URL length, proximity to the root server of an intranet, etc, to form a single ordering on web pages that closely obeys the individual orderings, but also mediates between the collective wisdom of individual heuristics.

Abstract: A dangling web page processing system ranks dangling web pages on the web. The system ranks dangling web pages of high quality that cannot be crawled by a crawler. In addition, the system adjusts ranks to penalize dangling web pages that return errors when links on the dangling web pages are crawled. By providing a rank for dangling web pages, the present system allows the concentration of crawling resources on those dangling web pages that have the highest rank in the uncrawled region. The system operates locally to the dangling web pages, providing efficient determination of ranks for the dangling web pages. The system explicitly discriminates against web pages on the basis of whether they point to penalty pages, i.e., pages that return an error when a link is followed. By incorporating more fine-grained information such as this into ranking, the system can improve the quality of individual search results and better manage resources for crawling.

Abstract: According to a preferred embodiment of the present invention, a bridging system (100) and method provides a way of linking two independent data systems by receiving a dataset from a source data system. The bridging system (100) translates the dataset from a source schema to a target schema according to a set of mapping rules, and queues the translated data in persistent storage, and then sends the translated dataset to a destination data system. The system (100) includes an XML bridge (114), multiple application specific gateways (116,118), and a web admin interface (210), all in communication via a wide area network.

Abstract: In a data mining system, data is gathered into a data store using, e.g., a Web crawler. The data is classified into entities. Data miners use rules to process the entities and append respective keys to the entities representing characteristics of the entities as derived from expert rules embodied in the miners. With these keys, characteristics of entities as defined by disparate expert authors of the data miners are identified for use in responding to complex data requests from customers.