A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user's navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Systems and methods for managing data, such as metadata. In one exemplary method, metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. Other methods are described and data processing systems and machine readable media are also described.

Systems and methods for managing data, such as metadata. In one exemplary method, metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. Other methods are described and data processing systems and machine readable media are also described.

Methods of and systems for dynamically rearranging search results into hierarchically organized concept clusters are provided. A method of searching for and presenting content items as an arrangement of conceptual clusters to facilitate further search and navigation on a display-constrained device includes providing a set of content items and receiving incremental input to incrementally identify search terms for content items. Content items are selected and grouped into sets based on how the incremental input matches various metadata associated with the content items. The selected content items are grouped into explicit conceptual clusters and user-implied conceptual clusters based on metadata in common to the selected content items. The clustered content items are presented according to the conceptual clusters into which they are grouped.

In some embodiments, a method of allowing navigation of a plurality of data elements residing within a category-tree database includes providing, on a single primary “web” page, a distinct data element symbol for each data element and a distinct parent category symbol for each parent category in the category paths of the data elements. For each illustrated parent category, a distinct first level web page is provided that includes (i) a first level subcategory symbol for each first level subcategory in the category paths of the data element(s) associated with that parent category and (ii) the data element symbol for each such data element shown associated with its respective first level subcategory symbol.

In one example, a method may include outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys, and receiving an indication of a gesture. The method may include determining an alignment score that is based at least in part on a word prefix and an alignment point traversed by the gesture. The method may include determining at least one alternative character that is based at least in part on a misspelling that includes at least a portion of the word prefix. The method may include determining an alternative alignment score based at least in part on the alternative character; and outputting, by the computing device and for display, based at least in part on the alternative alignment score, a candidate word based at least in part on the alternative character.

A network storage system comprises data storage, one or more file system APIs, and a metadata handler. The data storage can comprise file data and associated metadata. The file system APIs can be configured to read and write file data and metadata to and from the data storage. The metadata handler can have a library of functions for handling the metadata. The library can include a metadata blob creation function and a metadata blob extraction function. The metadata blob creation function cooperates with the file system APIs to read source metadata associated with specified file data and creates and populates a metadata blob from which a substantial copy of the source metadata can be generated. The metadata blob extraction function receives at least a metadata blob, extracts information from the metadata blob, and cooperates with the file system APIs to generate destination metadata, a substantial copy of the source metadata.

Information on a click stream associated with a user and meta tags commonly used by search engines can be used to profile a user. The click stream may comprise network addresses and timestamps and may be the only source of user information used for the profile. The meta tags may contain metadata that correspond to the network addresses in the click stream, including network address categorization for these network addresses. The profile obtained for the user may be an existing profile that represents a person or a theoretical individual having attributes similar to or most closely match the user. Based at least in part on the profile, information regarding an item may be provided to the user or the item may be offered to the user. Information may be filtered before being displayed to the user.

A product placement engine and method for automatically identifying products for association with a document, the engine including a parser, an analysis module adapted to determine word scores and to adjust the word scores of the words by predetermined weightings, a keyword constructor module adapted to construct a keyword query search string using words having the highest word scores, a search engine adapted to search a products database having product records to identify products satisfying the keyword query search string and assign product scores, and a post processing module adapted to identify word matches in each of the product records and the document and update the product score.

An information retrieval system uses phrases to index, retrieve, organize and describe documents. Phrases are identified that predict the presence of other phrases in documents. Documents are the indexed according to their included phrases. The document index is partitioned into multiple indexes, including a primary index and a secondary index. The primary index stores phrase posting lists with relevance rank ordered documents. The secondary index stores excess documents from the posting lists in document order.