792 results about "Multiple category" patented technology

A system for advertisers to efficiently manage their search listings in placement database search system includes grouping means for managing multiple categories for the search listings and query means for searching search listings. The system further includes quick-fill means for modifying an attribute in plurality of search listings by specifying the modification at single location.

A user interface for email users which calls attention to one or more categories of emails in different ways. In some species, at least three categories are used: branded senders with Trumarks; white list buddies; and fraudulent emails which are either not from the domain they purport to be from or in which the content was tampered. The preferred embodiment authenticates emails from branded senders and displays them with the sender's Truemark. Branded sender emails have their Truemarks displayed in the sender column of a list view in the preferred embodiment. In a preferred embodiment, white list senders have either an icon or other graphic or photo they choose displayed to the left or right of the sender column with their name in the sender column. In a preferred embodiment, fraudulent emails have a fraud icon displayed to the left or right of the sender column with a warning in the sender column. Antiphishing processing is also disclosed.

A search engine system displays the results of a multiple-category search according to levels of relevance of the categories to a user's search query. A query server receives a search query from a user and identifies, within each of multiple item categories, a set of items that satisfy the query. The sets of items are used to generate, for each of the multiple categories, a score that reflects a level significance or relevance of the category to the search. The scores may be based, for example, on the number of hits within each category relative to the total number of items in that category, the popularity levels of items that satisfy the query, a personal profile of the user, or a combination thereof. The categories are then presented to the user, together with the most relevant items within each category, in the order of highest to lowest category relevance.

A method for building a classification model for classifying unclassified documents based on the classification of a plurality of documents which respectively have been classified as belonging to one of a plurality of classes, said documents being digitally represented in a computer, said documents respectively comprising a plurality of terms which respectively comprise one or more symbols of a finite set of symbols, and said method comprising the following steps: representing each of said plurality of documents by a vector of n dimensions, said n dimensions forming a vector space, whereas the value of each dimension of said vector corresponds to the frequency of occurrence of a certain term in the document corresponding to said vector, so that said n dimensions span up a vector space; representing the classification of said already classified documents into classes by separating said vector space into a plurality of subspaces by one or more hyperplanes, such that each subspace comprises one or more documents as represented by their corresponding vectors in said vector space, so that said each subspace corresponds to a class.

A Website may be automatically categorized by (a) accepting Website information, (b) determining a set of scored clusters (e.g., semantic, term co-occurrence, etc.) for the Website using the Website information, and (c) determining at least one category (e.g., a vertical category) of a predefined taxonomy using at least some of the set of clusters. A semantic cluster (e.g., a term co-occurrence cluster) may be automatically associated with one or more categories (e.g., vertical categories) of a predefined taxonomy by (a) accepting a semantic cluster, (b) identifying a set of a one or more scored concepts using the accepted cluster, (c) identifying a set of one or more categories using at least some of the one or more scored concepts, and (d) associating at least some of the one or more categories with the semantic cluster. A property (e.g., a Website) may be associated with one or more categories (e.g., vertical categories) of a predefined taxonomy by (a) accepting information about the property, (b) identifying a set of a one or more scored semantic clusters (e.g., term co-occurrence clusters) using the accepted property information, (c) identifying a set of one or more categories (e.g., vertical categories) using at least some of the one or more scored semantic clusters, and (d) associating at least some of the one or more categories with the property.

Automatic sorting and grouping of electronic mail items in an electronic mail system is provided. An automatic mail grouping property may be selected for electronic mail received, sent or stored in a variety of storage folders. For a given mail location (e.g., received mail, sent mail, or a given mail storage folder), a selected automatic grouping property causes mail to be displayed to a user in one or more categories that make location of specific mail items easier and more efficient. Visible dividers with optional headings may be provided between mail categories to quickly draw a user's attention to a given mail category and to separate large numbers of mail into logical groupings that make location of specific mail items more manageable.