Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 1 of 15 PageID #: 474
`
`Exhibit B
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`
`
`
`
`
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`
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`

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`Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 2 of 15 PageID #: 475
`eS ESTATETATA
`
`US009699503B2
`
`a2) United States Patent
`US 9,699,503 B2
`(10) Patent No.:
`
` Fishmanet al. (45) Date of Patent: Jul. 4, 2017
`
`
`(54) SMART PLAYLIST
`
`(75)
`
`Inventors: Alex Fishman, San Francisco, CA
`(US); Crx K. Chai, Oakland, CA (US)
`,
`,
`°
`.
`:
`:
`(73) Assignee: OpenTV, Inc., San Francisco, CA (US)
`;
`;
`.
`;
`(*) Notice:
`Subject to any disclaimer, the term ofthis
`patent is extended or adjusted under 35
`U.S.C. 154(b) by 331 days.
`
`2003/0217365 AL*
`
`11/2003 Caputo oe. HOAN 7/106
`725/95
`
`2003/0237093 Al
`2005/0144499 Al
`2007/0033607 Al
`2007/0041705 Al
`2007/0157242 Al
`2008/0117202 Al*
`2008/0222106 Al
`2008/0320517 Al
`
`12/2003 Marshetal.
`6/2005 Naraharaetal.
`2/2007 Bryan
`2/2007 Bontempi
`7/2007. Cordrayet al.
`5/2008 Martinez .......... GO6F 17/30035
`345/418
`9/2008 Raoetal.
`12/2008 Beadle etal.
`
`(21) Appl. No.: 12/877,034
`
`(22)
`
`Filed:
`
`Sep. 7, 2010
`
`(65)
`
`Prior Publication Data
`
`US 2012/0060195 Al
`
`Mar. 8, 2012
`
`(51)
`
`Int. Cl.
`HOAN 21/4788
`HOAN 21/442
`HOAN 21/25
`HOAN 21/466
`HOAN 21/482
`(52) U.S. Cl.
`CPC ..... HOAN 21/44204 (2013.01); HO4N 21/252
`(2013.01); HO4N 21/4668 (2013.01); HO4N
`21/4826 (2013.01)
`
`(2011.01)
`(2011.01)
`(2011.01)
`(2011.01)
`(2011.01)
`
`(58) Field of Classification Search
`CPC oc. GO6F 17/3002; GO6F 17/30035; GO6F
`17/30038; HO4N 21/252; HO4N 21/4668
`USPC voce cece sees cece ee eeeeneeneeneese 725/46, 47
`See application file for complete search history.
`
`(56)
`
`References Cited
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`(Continued)
`
`FOREIGN PATENT DOCUMENTS
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`EP
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`
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`(Continued)
`
`Primary Examiner — Nathan Flynn
`Assistant Examiner — Tung T Trinh
`(74) Attorney, Agent, or Firm — Schwegman Lundberg &
`Woessner, P.A.
`
`(57)
`
`ABSTRACT
`
`In one example
`A smart playlist system is described.
`embodiment, a collector module obtains content utilization
`data from a plurality of client devices associated with
`respective plurality of viewers. A hot list generator module
`generates a list of popular content
`items based on the
`obtained content utilization data. A customization module
`
`generates a customizedplaylist for a target viewer from the
`plurality of viewers, based on the list of popular content
`items anda profile of the target viewer. The communications
`module communicates the customized playlist to a client
`device of the target viewer.
`
`18 Claims, 5 Drawing Sheets
`
`
`
`
`
`APPLICATION SERVER
`
`coe
`‘SOURCESOF VIEWABLE CONTENT
`
`SMARTPLAYLIST SYSTEM 242
`
`

`

`Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 3 of 15 PageID #: 476
`Page 3 of 15 PagelD #: 476
`Filed 02/18/25
`Case 1:24-cv-01301-CFC Document 16-2
`
`US 9,699,503 B2
`Page 2
`
`
`
`
`
`“U.S. Appl. No. 12/877,875, Non Final Office Action mailed Nov.
`6, 2012”, 13 pgs.
`“U.S. Appl. No. 12/877,875, Notice of Allowance mailed Sep. 17,
`2014”, 12 pgs.
`“U.S. Appl. No. 12/877,875, Response filed Aug. 15, 2014 to Non
`Final Office Action mailed Apr. 15, 2014”, 12 pgs.
`“U.S. Appl. No. 12/877,993, Appeal Brieffiled Feb. 24, 2016”, 20
`pgs.
`“U.S. Appl. No. 12/877,993, Final Office Action mailed Jan. 28,
`2015”, 35 pgs.
`“U.S. Appl. No. 12/877,993, Non Final Office Action mailed Jun.
`20, 2014”, 31 pgs.
`“U.S. Appl. No. 12/877,993, Response filed Oct. 14, 2014 to Non
`Final Office Action mailed Jun. 20, 2014”, 19 pgs.
`“U.S. Appl. No. 12/878,001, Final Office Action mailed Jul. 17,
`2014”, 12 pgs.
`“U.S. Appl. No. 12/879,001, Appeal Brief filed May 12, 2015”, 16
`pgs.
`“U.S. Appl. No. 14/588,871, Final Office Action mailed Mar. 7,
`2016”, 12 pgs.
`“U.S. Appl. No. 14/588,871, Non Final Office Action mailed Jun.
`29, 2015”, 13 pgs.
`“U.S. Appl. No. 14/588,871, Non Final Office Action mailed Sep.
`9, 2016”, 12 pgs.
`“U.S. Appl. No. 14/588,871, Non Final Office Action mailed Sep.
`15, 2016”, 16 pgs.
`“U.S. Appl. No. 14/588,871, Preliminary Amendmentfiled Jan. 27,
`2015”, 8 pgs.
`“U.S. Appl. No. 14/588,871, Response filed Jan. 17, 2017 to Non
`Final Office Action mailed Sep. 15, 2016”, 20 pgs.
`“U.S. Appl. No. 14/588,871, Responsefiled Jul. 7, 2016 Final Office
`Action mailed Mar. 7, 2016”, 12 pgs.
`“U.S. Appl. No. 14/588,871, Response filed Oct. 29, 2015 to Non
`Final Office Action mailed Jun. 29, 2015”, 11 pgs.
`“Australian Application Serial No. 2011299221, Responsefiled Jan.
`15, 2015”, 19 pgs.
`“Australian Application Serial No. 2011299234, Amendmentfiled.
`Aug. 25, 2015”, 26 pgs.
`“Australian Application Serial No. 2011299234, First Examiner
`Report mailed Aug. 25, 2014”, 3 pgs.
`“Australian Application Serial No. 2011299234, Response filed Oct.
`26, 2015 to Subsequent Examiners Report mailed Sep. 4, 2015”, 3
`pgs.
`“Australian Application Serial No. 2011299234, Subsequent Exam-
`iners Report mailed Sep. 4, 2015”, 4 pgs.
`“Australian Application Serial No. 2016201377, First Examiner
`Report mailed Feb. 1, 2017”, 3 pgs.
`“Australian Serial No. 2011299221, First Examiner Report mailed.
`May 2, 2014”, 3 pgs.
`“Brazilian Application Serial No. BR1120130055251, Voluntary
`Amendmentfiled Sep. 8, 2014”, 7 pgs.
`“European Application Serial No. 11824132.2, Extended European
`Search Report mailed Feb. 25, 2014”, 6 pgs.
`“European Application Serial No. 11824132.2, Responsefiled Aug.
`29, 2014”, 12 pgs.
`“Australian Application Serial No. 2016201377, Response filed.
`May 25, 2017 to First Examiner Report mailed Feb. 1, 2017”, 55
`pgs.
`“U.S. Appl. No. 12/877,993, Advisory Action mailed May 8, 2017”,
`9 pgs.
`“U.S. Appl. No. 12/878,001, Appeal Decision mailed Mar. 20,
`2017”, 10 pgs.
`“U.S. Appl. No. 14/588,871, Final Office Action mailed Mar. 31,
`2017”, 17 pgs.
`
`(56)
`
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`
`* cited by examiner
`
`

`

`Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 4 of 15 PageID #: 477
`Case 1:24-cv-01301-CFC Document16-2
`Filed 02/18/25
`Page 4 of 15 PagelD #: 477
`
`U.S. Patent
`
`Jul. 4, 2017
`
`Sheet 1 of 5
`
`US 9,699,503 B2
`
`:
`i
`
`DISTRIBUTION
`NETWORK
`
`"
`
`,
`‘
`
`a
`N So eae NL
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`SERVERS —{
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`;
`
`;
`
`

`

`Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 5 of 15 PageID #: 478
`Case 1:24-cv-01301-CFC Document16-2
`Filed 02/18/25
`Page 5 of 15 PagelD #: 478
`
`U.S. Patent
`
`Jul. 4, 2017
`
`Sheet 2 of 5
`
`US 9,699,503 B2
`
`SOURCESOF VIEWABLE CONTENT
`
`254
`
`256
`
`BROADCAST
`
`PROGRAMMING Cop LOCALCONTENT
`
`VIDEOONDEMAND
`
`
`
`CLIENT DEVICE
`
`SMARTPLAYLIST AGENT
`
`CLIENT DEVICE
`
`APPLICATION SERVER
`
`SMART PLAYLIST SYSTEM
`
`FIG. 2
`
`

`

`Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 6 of 15 PageID #: 479
`Case 1:24-cv-01301-CFC Document16-2
`Filed 02/18/25
`Page 6 of 15 PagelD #: 479
`
`U.S. Patent
`
`Jul. 4, 2017
`
`Sheet 3 of 5
`
`US 9,699,503 B2
`
`300
`
`COLLECTOR
`MODULE
`
`HOT LIST GENERATOR
`
`MODULE
`
`CUSTOMIZATION
`MODULE
`
`COMMUNICATIONS
`
`STORING MODULE
`
`FIG. 3
`
`

`

`Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 7 of 15 PageID #: 480
`Case 1:24-cv-01301-CFC Document16-2
`Filed 02/18/25
`Page 7 of 15 PagelD #: 480
`
`U.S. Patent
`
`Jul. 4, 2017
`
`Sheet 4 of 5
`
`US 9,699,503 B2
`
`400
`
`OBTAIN CONTENT UTILIZATION DATA FROM A PLURALITY
`OF CLIENT DEVICES ASSOCIATED WITH RESPECTIVE
`PLURALITY OF VIEWERS, THE CONTENT UTILIZATION DATA
`FOR A VIEWER FROM THE PLURALITY OF VIEWERS BEING
`INDICATIVE OF THE VIEWER’S INTEREST IN RESPECTIVE
`CONTENT ITEMS
`
`GENERATEA LIST OF POPULAR CONTENT ITEMS
`BASED ON THE OBTAINED CONTENT UTILIZATION
`DATA
`
`CLIENT DEVICE OF THE TARGET VIEWER
`
`GENERATE A CUSTOMIZED PLAYLIST FOR A TARGET
`VIEWER FROM THE PLURALITY OF VIEWERS, THE
`CUSTOMIZING BASED ON THE LIST OF POPULAR
`CONTENT ITEMS AND A PROFILE OF THE TARGET
`VIEWER
`
`COMMUNICATE THE CUSTOMIZED PLAYLIST TOA
`
`FIG. 4
`
`410
`
`420
`
`430
`
`440
`
`

`

`Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 8 of 15 PageID #: 481
`Case 1:24-cv-01301-CFC Document16-2
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`
`U.S. Patent
`
`Jul. 4, 2017
`
`Sheet 5 of 5
`
`US 9,699,503 B2
`
`/ 500
`
`VIDEO
`DISPLAY
`
`510
`
`ALPHA-NUMERIC]__ 1,
`INPUT DEVICE
`
`
`
`
`CURSOR
`
`CONTROL
`
`DEVICE
`
`508
`
`PROCESSOR
`
`—INSTRUCTIONS
`
`502
`524
`
`MAIN MEMORY
`
`504
`524—INSTRUCTIONS
`
`506
`
`veony
`
`DEVICE
`
`NETWORK
`INTERFACE
`
`520
`
`526
`
`514
`
`516
`
`DRIVE UNIT
`
`MACHINE-
`READABLE
`
`
`922
`MEDIUM
`
`7-524
`INSTRUCTIONS)
`
`
`
`
`
`
`
`SIGNAL
`GENERATION
`
`DEVICE
`
`518
`
`FIG. 5
`
`

`

`Case 1:24-cv-01301-CFC Document 16-2 Filed 02/18/25 Page 9 of 15 PageID #: 482
`Page 9 of 15 PagelD #: 482
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`US 9,699,503 B2
`
`1
`SMART PLAYLIST
`
`TECHNICAL FIELD
`
`This application relates to the fields of media and enter-
`tainment and specifically to a smart playlist system.
`
`BACKGROUND
`
`The approaches described in this section could be pur-
`sued, but are not necessarily approaches that have been
`previously conceived or pursued. Therefore, unless other-
`wise indicated herein,
`the approaches described in this
`section are not prior art to the claimsin this application and
`are not admitted to be prior art by inclusion in this section.
`In the field of media and entertainment, there is a new
`generation of viewers that has a high expectation of the level
`of entertainment to be enjoyed from various sources of
`content, such as, e.g., television programming, the Internet,
`and locally stored content. These viewers may expect more
`choice, more flexibility, as well as the ability to interact and
`participate more with the viewable content.
`On the other hand, the sheer volume of content that is
`available for viewing is exploding dramatically. Just the
`number of television channels that are now available is
`almost unmanageable. The amountof content that is avail-
`able via free video or video on demandservice is also
`
`increasing. It is now possible to view content over a wider
`span of time by employing time shifting technologies, such
`as Personal Video Recording (PVR) (sometimesreferred to
`as DVR or Digital Video Recording). This explosion of
`content may be described as a paradox of choice, where the
`excess of choices causes a viewer’s inability to choose.
`
`BRIEF DESCRIPTION OF DRAWINGS
`
`Embodiments are illustrated by way of example and not
`limitation in the figures of the accompanying drawings, in
`which like references indicate similar elements and in
`which:
`FIG.
`
`illustrates an environment within which an
`
`1
`
`example smart playlist may be implemented, in accordance
`with an example embodiment;
`FIG. 2 is a network diagram illustrating architecture
`within which a smart playlist may be utilized, in accordance
`with an example embodiment;
`FIG. 3 is a block diagram illustrating a smart playlist
`system, in accordance with an example embodiment;
`FIG.4 is a flow chart illustrating a method for providing
`a smart playlist to a viewer’s client device, in accordance
`with an example embodiment; and
`FIG. 5 illustrates a diagrammatic representation of a
`machine in the example form of a computer system within
`which a set of instructions, for causing the machine to
`perform any one or more of the methodologies discussed
`herein, may be executed.
`
`DETAILED DESCRIPTION
`
`The description that follows includes systems, methods,
`techniques, instruction sequences, and computing machine
`program products that embodyillustrative embodiments of
`the present
`invention.
`In the following description,
`for
`purposes of explanation, numerous specific details are set
`forth in order to provide an understanding of various
`embodiments of the inventive subject matter. It will be
`evident, however, to those skilled in the art that embodi-
`
`2
`ments of the inventive subject matter may be practiced
`without
`these specific details.
`In general, well-known
`instruction instances, protocols, structures, and techniques
`have not been shown in detail.
`A system is described to collect information from a great
`number of viewers’ client devices, determine a list of
`popular content items based on the collected information,
`customize the list for a particular viewer, and send thatlist
`to the viewer’s device. This approach to aiding a viewer in
`making choices in the universe of viewable content may be
`termed a smart playlist system. Example embodiments
`described herein provide systems and methods to generate a
`smart play list.
`In one embodiment, a smart playlist system obtains from
`viewers’ client devices content-related information such as,
`e.g., which programs are being currently viewed, which
`programsare being recorded and scheduled to be recorded,
`which content has been rated and the associated ratings, as
`well as recommendations pertaining to programs, purchases
`of various programs,etc. For the purposes of this description
`the terms content, content item, show, and program will be
`understood to denote viewable content. Data collected indis-
`criminately from the entire accessible community of viewers
`may be accumulated in a repository termed a global bucket.
`Data from the global bucket may be analyzed to determine
`programs that appear to be most popular at the time of the
`analyzing, i.e., appear to be of heightened interest to view-
`ers. A certain numberof programsthat have been determined
`as most popular are compiled into a so-called hot list. The
`hot list may be made available to viewer, e.g., by commu-
`nicating the list to the viewers’ client devices or providing
`an access link that can be invoked from the users’ devices.
`Before a hot
`list is provided to a viewer,
`it may be
`personalized for the viewer by determining howrelevant the
`items in the hot
`list are to that particular viewer and
`presenting to the viewer only those programsthat have been
`determined to be of high relevance to the viewer. The
`relevancy ofa particular program to a particular viewer may
`be determined by associating each item in the hot list with
`a score based on the viewer’s profile, on the viewer’s content
`viewing history and patterns, as well as based on informa-
`tion collected from the client devices of a subset of viewers
`
`who are membersofthe particular viewer’s social network.
`In one example embodiment, in addition to determining a
`personalized hotlist of content items, a smart playlist system
`maytrigger recording of a certain program as soon as the
`program has been identified as a live program and of high
`relevance to the viewer. For example, a viewer may not be
`tuned into a channel broadcasting a particular live sports
`event. If the smart playlist system determined that the live
`sports event is of high relevance to the viewer, the smart
`playlist system maytrigger the recording of the live broad-
`cast of the sports event on the viewer’s client device (e.g.,
`a set top box, a desktop computer, etc.) and also alerts the
`user to the fact that she may be interested in the event being
`currently broadcast on a certain channel. The viewer may
`then ignore the alert. If the viewer, instead, tunes to the
`suggested channel the viewer would not have missed the
`beginning of the broadcast because the recording of the
`program has been automatically triggered by an instruction
`provided to the viewer’s client device from the smart playlist
`system. In one example,
`the high relevancy of the live
`broadcast may have been determined based on the fact that
`all of the viewer’s social network contacts have either tuned
`
`into the associated channel or have scheduled the recording
`of the broadcast. In another example, the high relevancy of
`the live broadcast may have been determined based on the
`
`20
`
`25
`
`40
`
`45
`
`50
`
`

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