Hewlett-packard Development Company, L.p.

Hewlett Packard Enterprise Development LP

Parag Mulendra Joshi

Suk Hwan Lim

Jerry J Liu

Yuhong Xiong

Nina Bhatti

Claudio Bartolini

Hamid Reza Motahari Nezhad

Jian-Ming Jin

Samson J Liu

Sheng-Wen Yang

Hui Chao

Jian Fan

Pere Obrador

Sven Graupner

Dirk Manfred Beyer

Xiaofan Lin

Alex Xin Zhang

C Brian Atkins

Clayton Atkins

Sam Liu

Gary Vondran

Menaka Indrani

Suggesting email tags. A non-transitory machine-readable storage device includes executable instructions that, when executed, cause one or more processors to provide a suggestion for at least one suggested tag based on content of an email, receive a selection of a selected tag, store the email in a computer database, thus creating a stored email, and associate the selected tag with the stored email in the computer database.

Email tags

A particular case is matched to further cases, where the matching is based on plural attributes contained in the particular case and in the further cases, wherein one of the plural attributes relates to a flow of activities taken to address the respective case.

Matching of cases based on attributes including an attribute relating to flow of activities

A method for extracting web content includes detecting, within a web page, a hierarchical structure that includes a plurality of nodes. Potential article nodes from the plurality of nodes are identified. The identified potential article node with a highest rank in the hierarchical structure is identified as an article node. Content is extracted from the article node.

Selective content extraction

Semantically ranking content in a website () with a computerized ranking device () includes: parsing content from the website () into multiple autonomous content blocks (-to-) with the computerized ranking device () and assigning an importance ranking with said computerized ranking device () to each of the content blocks (-to-) based on a degree to which a substance of the content block (-to-) is relevant to one of a plurality of predefined categories.

Semantically ranking content in a website

A method of grouping a plurality of media content is provided. The method includes converting at least a portion of the media content into at least one document object model ('DOM') using a processor. The DOM can include a plurality of block elements, each comprising at least one content object. The method includes apportioning the content objects into a relevant portion and an irrelevant portion and extracting a set of keywords, the set comprising at least one keyword, within the relevant portion of the content objects. The method includes apportioning the relevant portion of the content objects into a related portion and an unrelated portion using at least a portion of the set of keywords and grouping the related portion of the content to provide a group of related content.

Content grouping systems and methods

An exemplary method for providing contemporaneous maps to a user at a non-GPS enabled mobile device comprises obtaining a request from the mobile device, decoding the request to obtain multimedia data, analyzing the multimedia data to obtain location information, accessing a map database using the location information, generating a map image based on data from the map database, generating a response including the map image, and sending the response to the mobile device to enable a display of the map image at the mobile device.

Providing contemporaneous maps to a user at a non-GPS enabled mobile device

Methods, machines, systems and machine-readable instructions for producing marketing items are described. In one aspect, a user is prompted to specify campaign parameters, including one or more campaign topics, defining a scope of the campaign. The user is prompted to specify for each of the one or more campaign topics a corresponding set of one or more attributes of intended recipients of the marketing campaign. The one or more specified campaign topics are associated to respective sets of targeted recipients selected from a database of records of potential recipients based on mappings of the respective sets of recipient attributes to the campaign topics and the specified campaign parameters defining the scope of the marketing campaign. For each of the targeted recipients, a respective marketing item containing a respective set of one or more contents matched to the campaign topic associated to the targeted recipient is composed.

Producing marketing items for a marketing campaign

Growing community of inventors

Los Gatos, CA, United States of America

Parag Mulendra Joshi