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International Business Machines : Patent Issued for Providing Relevant Information to a User Based upon Monitored User Activities in One Or More Contexts (USPTO 9773065)

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10/05/2017 | 11:09pm CET

By a News Reporter-Staff News Editor at Journal of Engineering -- According to news reporting originating from Alexandria, Virginia, by VerticalNews journalists, a patent by the inventors Hahn, Timothy J. (Cary, NC); Lang, Brian J. (Holly Springs, NC); Small, Joshua M. (Cary, NC); Srikanth, Viswanath (Chapel Hill, NC), filed on September 25, 2014, was published online on September 26, 2017.

The assignee for this patent, patent number 9773065, is INTERNATIONAL BUSINESS MACHINES CORPORATION (Armonk, NY).

Reporters obtained the following quote from the background information supplied by the inventors: "Present invention embodiments relate generally to information mining, and more specifically, to identifying information proactively based on a user's context.

"Identifying information relevant to a particular topic of interest is a manual and repetitive process usually driven by keyword searches. For example, a user may manually enter various keywords into search engines, search fields of subscription-based databases or social media platforms to obtain information relevant to a particular topic. Not only is this process time consuming, but also, the search may not retrieve the most relevant information.

"A common practice to identify relevant information is to monitor keyword search terms entered into a search tool, and suggest similar phrases for a subsequent keyword search. However, this practice does not provide results pro-actively, requires a user to engage in a search, and may not provide optimal information.

"Another common practice involves using advertising/marketing technologies to identify, based upon user selection of a particular product, other items having similar properties or popularity among consumers. However, this practice is limited regarding the types of information that it can provide to a user, does not consider a user's context, and may not provide optimal results.

"Other approaches exist as well, which involve monitoring and analyzing searches performed by a user. However, these approaches may not produce optimal information, are not performed pro-actively, and are reliant upon a user actively engaging in searching for a particular type of information."

In addition to obtaining background information on this patent, VerticalNews editors also obtained the inventors' summary information for this patent: "According to embodiments of the present invention, machines, systems, computer-implemented methods and computer program products for retrieving information pertaining to an activity are provided. One or more activities performed by a user on one or more devices are monitored, one or more topics of interest are determined based on the monitored activities, preference information, and information within a user network. Information is retrieved from one or more network sites relating to the one or more topics of interest, and retrieved information is provided to the user.

"These and other aspects, features and advantages of the present invention will be understood with reference to the drawing figures, and detailed description herein, and will be realized by means of the various elements and combinations particularly pointed out in the appended claims. It is to be understood that both the foregoing general description and the following brief description of the drawings and detailed description of the invention are exemplary and explanatory of preferred embodiments of the invention, and are not restrictive of the invention, as claimed."

For more information, see this patent: Hahn, Timothy J.; Lang, Brian J.; Small, Joshua M.; Srikanth, Viswanath. Providing Relevant Information to a User Based upon Monitored User Activities in One Or More Contexts. U.S. Patent Number 9773065, filed September 25, 2014, and published online on September 26, 2017. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=9773065.PN.&OS=PN/9773065RS=PN/9773065

Keywords for this news article include: INTERNATIONAL BUSINESS MACHINES CORPORATION.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2017, NewsRx LLC

(c) 2017 NewsRx LLC, source Science Newsletters

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Financials ($)
Sales 2018 80 091 M
EBIT 2018 14 993 M
Net income 2018 10 930 M
Debt 2018 33 206 M
Yield 2018 4,02%
P/E ratio 2018 12,86
P/E ratio 2019 12,68
EV / Sales 2018 2,19x
EV / Sales 2019 2,17x
Capitalization 143 B
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Income Statement Evolution
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Mean consensus HOLD
Number of Analysts 25
Average target price 170 $
Spread / Average Target 10%
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Managers
NameTitle
Virginia M. Rometty Chairman, President & Chief Executive Officer
James J. Kavanaugh Chief Financial Officer & Senior Vice President
John E. Kelly Senior VP-Cognitive Solutions & Research
Martin Jetter SVP-Global Technology Services
Sidney Taurel Independent Director
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