International Business Machines Corporation

Prasad Lakshmi Imandi

Shadi Eskamaei Albouyeh

James Edward Fox

Trudy L Hewitt

Al Chakra

Michael Scott Thomason

Tong Yu

Maryam Ahmed

Systems and methods for insertion of contact profile images into messages are disclosed. The images can be received from a public profile of a social media website, or from locally stored content. The images may be selected based on a context, such as the recipient and/or sender address, or context of the message. The selected image is inserted into the message instead of, or in addition to the contact name. The recipient then receives a message that includes the inserted image.

Dynamically integrating contact profile pictures from websites into messages

Dynamically integrating contact profile pictures into messages based on user input

In one aspect, a method for intelligently learning hashtag relevance may include monitoring, with a relevance engine, a target's access to a plurality of hashtag-annotated content comprising a first content, updating, using the relevance engine, an access record with information indicative of a number of times the target is presented with the first content and the first content remains unselected by the target, determining a relevance of the plurality of hashtag-annotated content based on the access record, and presenting a second hashtag-annotated content based on the relevance.

Learning hashtag relevance

A computer implemented method for filtering audience viewing of uniform resource locator (URL) data utilizing hashtags including: identifying a hashtag input by a first user; identifying at least one user preference of the first user, the at least one user preference related to data sharing preferences of the first user on an electronic platform; generating a uniform resource locator (URL) based on the identified hashtag and the identified at least one user preference of the first user; and using the URL, filtering data communication on the electronic platform, thereby displaying a privatized stream of data when the first user accesses the identified hashtag, the privatized stream of data accessible by a second user, the second user being authorized to view the privatized stream of data based on the data sharing preferences of the first user.

Method, system and computer product for filtering audience viewing of URL data utilizing hashtags

According to some embodiments, a method for determining proper name spelling in a text message from a sender to a receiver is described. The method may include evaluating text from a sender to a receiver to identify a proper name, comparing the text against a repository containing one or more proper names, determining a confidence ranking related to the accuracy of spelling of the proper name using shared contacts between the sender and receiver, and outputting a specific spelling of the proper name based on a highest confidence ranking of the confidence ranking.

System and method for context aware proper name spelling

Computer apparatus, system and method maintain a database of hyperlinks associated with activities and inactions in the past of a user. From a current work space of the user, a recommendation engine searches the database to retrieve hyperlinks based on user-specified context and topic. The recommendation engine displays recommended hyperlinks (candidates) and enables the user to filter the recommended hyperlinks by original source, activity metric or other relevance. To form and maintain the database, a context analysis engine captures activity content links. Each activity content link has a respective hyperlink associated with an activity/inaction of the user. The context analysis engine generates a metric based on the activity and records the respective hyperlink in the database along with the metric. The recommendation engine and context analysis engine may, on user command, further search social media or social networks in order to make hyperlink recommendations to the user.

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Chapel Hill, NC, United States of America

Prasad Lakshmi Imandi