Abstract: Systems and methods for related term suggestion are described. In one aspect, term clusters are generated as a function of calculated similarity of term vectors. Each term vector having been generated from search results associated with a set of high frequency of occurrence (FOO) historical queries previously submitted to a search engine. Responsive to receiving a term/phrase from an entity, the term/phrase is evaluated in view of terms/phrases in the term clusters to identify one or more related term suggestions.

Abstract: Systems and methods for verifying relevance between terms and Web site contents are described. In one aspect, site contents from a bid URL are retrieved. Expanded term(s) semantically and/or contextually related to bid term(s) are calculated. Content similarity and expanded similarity measurements are calculated from respective combinations of the bid term(s), the site contents, and the expanded terms. Category similarity measurements between the expanded terms and the site contents are determined in view of a trained similarity classifier. The trained similarity classifier having been trained from mined web site content associated with directory data. A confidence value providing an objective measure of relevance between the bid term(s) and the site contents is determined from the content, expanded, and category similarity measurements evaluating the multiple similarity scores in view of a trained relevance classifier model.

Abstract: Systems and methods for related term suggestion are described. In one aspect, relationships among respective ones of two or more multi-type data objects are identified. The respective ones of the multi-type data objects include at least one object of a first type and at least one object of a second type that is different from the first type. The multi-type data objects are iteratively clustered in view of respective ones of the relationships to generate reinforced clusters.

Abstract: Displaying data in a user interface for navigation by a user and optimization of display area consumption. The data is associated with a plurality of nodes organized according to a hierarchy having a plurality of levels. Each of the nodes has a corresponding identifier. The invention includes arranging the identifiers for each of the nodes to display one or more of the levels in a visual representation of the hierarchy in one of a plurality of directions relative to a higher one of the levels. The invention also includes dynamically expanding and pivoting levels in a display direction in the visual representation of the hierarchy in response to user input.

Abstract: Described herein is a data collection and warehousing system that collects log files from a plurality of servers, and that transforms the entries of the log files prior to using them to populate a database. Nightly, the system provides a pre-processing program to each of the servers. The servers executing the pre-processing component to filter the logged data before sending it on to the data collection and warehousing system. The data collection and warehousing system pre-parses each received log file to create dimension and fact tables. During this process, strings are replaced by keys. These keys are calculated on-the-fly by taking a hash of each string. The resulting tables are then further parsed to create further dimension and fact tables that correspond to each of the dimension and fact tables of a relational database schema. After further processing, these tables are loaded into a data warehousing system.