Abstract:
A data processing system employs a pre-processing step to create a simplified view of a received entity graph. During the pre-processing step, only the objects and the attributes of those objects within the graph that are required for data processing are selected. Pruned source and target objects are generated by omitting those attributes that are not required for processing. The pruned objects are included in the simplified view that enhances system performance.
Abstract:
A method is disclosed for providing advertising content for display in a page over a network. The advertising content is displayed based on a category assigned to the advertising content and an identified geographic location of a search query. The category correlating to a given search may be based on the search results. The search results may be associated with one or more categories and the category for selecting advertising content is determined in accordance with the amount of search results each category is correlated to. The provided advertising content may be selected from an available inventory of advertising content within the geographic location of the search query or the geographic location of an advertiser location associated with the geographic location of the search query.
Abstract:
A search query is received. Personal information for a user is then determined. A search is performed in a general subdomain of general content using the search query. For example, the general subdomain of general content may be a WWW search. Then, a vertical subdomain is determined based on the personal information. A search is then performed in the vertical subdomain of specialized content using the search query. The search performed in the general subdomain and the search performed in the vertical subdomain generate general search results and vertical search results. The results may be combined and outputted to a client.
Abstract:
A system and method for implementing bid adjustments in an online advertisement exchange are disclosed. A plurality of bids from a plurality of advertisers may be received for an online advertisement opportunity. A first advertiser may be associated with a first bid bias value. In some embodiments, if the first advertiser is associated with a first bid bias value, then the bid received from the first advertiser may be adjusted based on the first bid bias value. For example, an adjusted bid may be calculated based on the bid received from the first advertiser and the first bid bias value. The online advertisement exchange may conduct an online auction with the adjusted bid from the first advertiser. If the first advertiser wins the auction based on the adjusted bid, then the first advertiser may be charged the value of the bid received from the first advertiser instead of the adjusted bid value.
Abstract:
Disclosed herein is an ability to identify a supported language. A current language tag including one or more subtags, each subtag providing language identification information. In response to determining that a language referenced by the current language tag is not a supported language, accessing a stored set of mappings including one or more mappings, each mapping associating a first language tag with a second language tag, determining whether or not a mapping in the set of mappings includes the current language tag as one of the first and second language tags and a new language tag as the other of the first and second language tags, and using the new language tag as the current language tag to identify the supported language.
Abstract:
A network's evolution is characterized by graph evolution rules. A graph, formed by merging multiple graphs representing the multiple snapshots of the network, that represents an evolutionary network is mined to identify evolutional patterns of the network. A pattern is selected from the identified patterns. Graph evolution rules are generated using identified evolutional patterns. The generated graph evolution rules represent the evolutional patterns of the network, the rules indicating that any occurrence of a child pattern of the selected pattern implies a corresponding occurrence of the selected pattern.
Abstract:
Method, system, and programs for generating, storing, and maintaining data in a data storage system. A data record in a first format is received, and converted into one or more converted data records in a second format. Each of the one or more converted data records comprises a markup attribute, a content attribute, and an identifier attribute used to locate the data record in the first format. And the one or more converted data records are stored in the data storage system.
Abstract:
A system for monetization of content includes a storage device for storage and retrieval of data, and a library of content and advertisements stored within the storage device. The library comprises an organizational structure for facilitating the storage and retrieval. The system also includes a monetization engine for identifying within the library a first content item having a first monetizable feature. The system is configured for selecting a second content item from several content items within the library, and associating the second content item to the first content item by using the first monetizable feature for presentation of the second content item in conjunction with the first content item. Further embodiments include various additional systems, methods, and computer readable media for implementation of the foregoing.
Abstract:
An Internet or other online service is personalized or customized based on data collected for a user of a computing device. In one embodiment, a method includes: storing a plurality of person profiles for persons associated with communications received by a user of a computing device; receiving data associated with an online service; and filtering, using at least one processor, the data based on the plurality of person profiles, wherein the filtered data is for display to the user on the computing device.
Abstract:
A system and method are disclosed for determining local intent. Local intent may reflect whether a search query should receive results and advertisements that are geographically specific. The local intent may be determined using probabilistic models that analyze historical searches to determine which search terms tend to have local intent.