[00:00:00] Speaker 01: Our next case is number 24, 1792, Tentales Inc. [00:00:04] Speaker 01: versus TikTok Inc., Mr. Fisher. [00:00:09] Speaker 01: Yes, ma'am. [00:00:09] Speaker 01: May it please the court? [00:00:12] Speaker 01: Claim one of the 030 patent is directed to a specific implementation of a new and improved system that solved a problem that was unique to the internet in 2003, well before the proliferation of social networks. [00:00:26] Speaker 01: Claim one recites a system [00:00:28] Speaker 01: that requires the retrieval of user social network information and uses that information to select content to modify what is being presented to a user to make the content more impactful on that particular user. [00:00:42] Speaker 00: Doesn't that sound a lot to you like intellectual ventures versus Capital One? [00:00:48] Speaker 01: It doesn't. [00:00:49] Speaker 01: And I think that case is instructive for the way how little that claim shows. [00:00:57] Speaker 01: And that was brought up during oral argument where counsel was asked, does this not read simply on? [00:01:06] Speaker 00: Well, that case was about customizing a web page content as a function of navigation history and information known about the user. [00:01:15] Speaker 00: That doesn't sound that different than how you described your claims. [00:01:19] Speaker 01: So tell me how it's different. [00:01:21] Speaker 01: This is 2003, and I think that's important. [00:01:23] Speaker 01: Social networks were not yet a thing. [00:01:27] Speaker 01: The inventor, who has a background in psychology and digital media, came up with the approach of rather than just personalizing digital content based on what the user has told the system about himself, let's go observe and retrieve user social network information that has user attributes in it that [00:01:52] Speaker 01: indicate properties about that user's interactions in an online community and then based on those attributes, select better content and modify what was being presented to the user based on what he had told the system about himself and improve it so that the system can benefit from [00:02:15] Speaker 00: going out and getting, using 10 buckets of information versus using two buckets of information about the user makes this eligible versus ineligible? [00:02:28] Speaker 01: It's the fact that the user social network information is observing the user's behavior. [00:02:34] Speaker 02: What do you mean by social network? [00:02:35] Speaker 02: Are you talking about YouTube? [00:02:38] Speaker 02: The social platforms that we have? [00:02:41] Speaker 01: Well, in 2003, none of them were here. [00:02:43] Speaker 01: This invention is 2003, which is well before any of the social networks had been out there. [00:02:50] Speaker 01: We put a timeline in our brief. [00:02:52] Speaker 01: This was before the first iPhone. [00:02:54] Speaker 01: This was the concept of interacting in a network. [00:03:02] Speaker 01: This is shortly after the internet became a thing. [00:03:06] Speaker 01: Interacting with one another. [00:03:07] Speaker 01: So you're talking about [00:03:11] Speaker 02: systems or programs that existed before WhatsApp or Facebook. [00:03:17] Speaker 01: Before Facebook, yes. [00:03:18] Speaker 02: Before Facebook. [00:03:21] Speaker 01: The claim was, the invention was, hey, if users are going to be interacting with one another, let's get information about those interactions. [00:03:31] Speaker 01: Go retrieve information about those interactions, use that in addition to what we know about the user, mail, the end of Virginia, [00:03:40] Speaker 01: A football fan. [00:03:41] Speaker 02: Why is that not targeted advertising, which we've held to be ineligible? [00:03:48] Speaker 01: Because it's very specific. [00:03:50] Speaker 01: There's a very specific implementation of a system that requires not only that you select content based on user attributes, but then the system, the technical system. [00:04:02] Speaker 02: But it's still targeted advertising, right? [00:04:04] Speaker 01: It could be used to advertise, but it's not targeted advertising. [00:04:07] Speaker 01: It's a system for getting improved. [00:04:11] Speaker 02: It improves the target, I'll say. [00:04:13] Speaker 01: It improves the content. [00:04:15] Speaker 01: It modifies what is being provided to the user to provide better content. [00:04:21] Speaker 00: That doesn't improve technology. [00:04:24] Speaker 01: Sure it does. [00:04:24] Speaker 01: It's the fact that the system, that you've told the system about yourself, your profile information. [00:04:33] Speaker 01: That system, [00:04:34] Speaker 01: is going to start providing you information. [00:04:36] Speaker 01: And it's going to be good information because you told me what your interests are and I gave you information. [00:04:42] Speaker 00: Again, we have, I think as Judge Raina pointed out, we've got legions of cases that talk about something that sounds just like this that says ineligible. [00:04:52] Speaker 01: But the system further requires that it go out and get additional user attributes [00:05:02] Speaker 01: based on how you are interacting on a social network, on an online community. [00:05:06] Speaker 01: Maybe it's something you didn't tell the system about. [00:05:09] Speaker 01: Maybe it's the fact that you hit like on a certain football team in an online community that you're involved with. [00:05:16] Speaker 01: OK, but in free stream media, it took into account television, right? [00:05:24] Speaker 01: Free Stream was watching television, watching behavior, whatever, right? [00:05:29] Speaker 01: Yeah. [00:05:29] Speaker 01: Yes. [00:05:30] Speaker 01: Well, this is different. [00:05:31] Speaker 01: This is not. [00:05:34] Speaker 01: But it's information from another source, right? [00:05:38] Speaker 01: This is not just another source. [00:05:40] Speaker 01: It's information that goes to the user itself. [00:05:45] Speaker 01: It is information about the user's likes and dislikes, the user's affinities, what content is going to make the user. [00:05:54] Speaker 01: I'm sorry? [00:05:55] Speaker 01: That was true in Free Stream. [00:05:57] Speaker 01: I don't think that it certainly didn't include social networks. [00:06:01] Speaker 01: Well, you said this patent was filed before social networks existed, so the patent wasn't referring to social networks. [00:06:08] Speaker 01: The user recognized that the capability is coming to be where users could interact with one another in a networked environment as a result of they were in their infancy. [00:06:19] Speaker 01: But nobody had ever said, [00:06:21] Speaker 01: that there's a type of information that we can derive from a user based on their interactions in that environment to make content being provided to the user more impactful. [00:06:32] Speaker 01: There was a problem identified in the pattern. [00:06:34] Speaker 02: So say that there's an interaction on this social environment that you're talking about, and a fellow says in there, I like Ford pickup trucks. [00:06:45] Speaker 02: Um, that, that is a type of information that would be gleaned as a result of that social interaction, right? [00:06:52] Speaker 01: Something that you didn't tell the system, but that I observed. [00:06:55] Speaker 01: Right. [00:06:56] Speaker 02: So it would, so then I go home and now I'm getting an advertisement for Ford trucks. [00:07:01] Speaker 01: Or maybe you're watching a movie and a Ford truck appears in it. [00:07:04] Speaker 01: Right. [00:07:04] Speaker 01: Because the content was modified. [00:07:06] Speaker 02: Why is that not targeted advertising? [00:07:08] Speaker 01: I'm sorry? [00:07:09] Speaker 02: Why is that not targeted advertising? [00:07:12] Speaker 01: That's an implementation of it, but the, the, [00:07:15] Speaker 01: Prior art and what was conventional at the time, social networks were not conventional. [00:07:22] Speaker 02: So the ability... Just aside from all of that, the claims are directed towards advertising, targeted advertising. [00:07:30] Speaker 01: It's directed to modifying content. [00:07:32] Speaker 01: It doesn't have to be advertising. [00:07:35] Speaker 01: Modifying content to make it more impactful on the user. [00:07:40] Speaker 01: That's what the [00:07:41] Speaker 01: things are directed to, and it's a very specific technical implementation. [00:07:47] Speaker 01: And not only is it not abstract, it has been found to be novel and non-obvious three times during examination after surviving a 101 test. [00:08:01] Speaker 02: But section 103 has no relevance in section 101 analysis. [00:08:06] Speaker 01: It does have relevance under the [00:08:08] Speaker 01: in the sense that Berkheimer says that the underlying factual inquiries can overlap between novelty and non-obviousness at the same factual inquiries in determining whether an invention is non-conventional, non-routine, or well-known in the art. [00:08:30] Speaker 01: And those factual inquiries can overlap. [00:08:33] Speaker 01: And here, not only [00:08:35] Speaker 01: has it been found to be novel and non-obvious three times in the examination, and in the IPR that was denied, TikTok's IPR was denied, and TikTok then subsequently filed an expertly re-exam, and that was denied. [00:08:50] Speaker 01: In all of those rejections, the examiner, the PTAB, and the CRU all recognized that in 2003, the concept of retrieving user social network information was not in the art. [00:09:06] Speaker 01: which I think is pertinent to a finding that that's an inventive concept that adds something more to the claim to the extent it's found to be abstract. [00:09:16] Speaker 01: So it's a very specific technical system and embodiment for carrying out the invention. [00:09:22] Speaker 01: And on a Rule 12 motion, certainly to the extent there's factual disputes, those images need to be taken in favor of 10 tales, and the patent should be found eligible. [00:09:36] Speaker 01: So the error that the district court committed at step one was that it simply generalized the claim. [00:09:49] Speaker 01: It did not consider the claim as a whole. [00:09:51] Speaker 01: It did not consider that the claim specifically recites retrieving user social network information from a source external. [00:09:58] Speaker 01: And when you peel away the requirements of the claim and you're left with [00:10:05] Speaker 01: you're left with targeted advertising. [00:10:07] Speaker 01: But that's not what this claim is directed to. [00:10:10] Speaker 01: It's much more detailed than that. [00:10:12] Speaker 01: And as a whole, there's certainly technology in the claim that warrants eligibility. [00:10:22] Speaker 01: At step two, what the district court did was to, again, shorthand what the claim limitations required and found that there was no end to the concept. [00:10:34] Speaker 01: as Your Honor indicated or put to me, is there an overlap between novelty and non-obviousness and eligibility? [00:10:49] Speaker 01: And I would submit that there certainly is under Berkheimer. [00:10:52] Speaker 01: And the district court stated, citing Diamond v. Deer, that evidence of novelty is of no relevance. [00:11:02] Speaker 01: But of course, Diamond Dedeer is from well before Alice and well before Bergkinder. [00:11:11] Speaker 01: So one thing I would like to touch on that neither the district court nor TikTok touches on is preemption. [00:11:24] Speaker 01: And that is the underlying concern of a 101 determination. [00:11:29] Speaker 01: Are we preempting a building block of ingenuity? [00:11:32] Speaker 01: And certainly, when the claim is considered as a whole, and there's retrieving user social network information, and there is selecting content and modifying what the user's being presented, it can't be said that Pentel's claim one is preempting targeted advertising, if targeted advertising is a fundamental business practice, which I would agree that it probably is. [00:12:03] Speaker 01: So TikTok's brief cites a number of cases where the court found that targeted advertising was not eligible. [00:12:12] Speaker 01: But targeted advertising alone, like hedging a loan or mitigating settlement risk alone, is a fundamental business practice. [00:12:21] Speaker 01: But as the district court first characterized our claim here, it's directed to a system for presenting personalized digital media content to a user, [00:12:33] Speaker 01: based on user attributes from user social network information. [00:12:36] Speaker 01: This is a specific claim system that is not a fundamental business practice. [00:12:43] Speaker 01: In Alice, while claim comparisons are done in many of these cases, claims to target advertising cases, the purpose that the court in Alice compared the claims to the claims and bill scheme was to simply state that [00:13:00] Speaker 01: The concept of mitigating settlement risk, like the concept of hedging, was a fundamental business practice, which by itself is abstract, because they're a building box of ingenuity that should not be preempted. [00:13:13] Speaker 01: But that should not be used as a surrogate for the test at step one and step two of ALIS. [00:13:41] Speaker 03: Thank you, Your Honor. [00:13:47] Speaker 03: Judge Dye, Your Honor, as it may please the Court, I'd like to address a couple of quick issues first and then get into some of the details. [00:13:54] Speaker 03: The issue with respect to preemption, what the courts have said is that where patent eligibility is established under the ALICE framework, preemption concerns are made moot. [00:14:06] Speaker 03: And the argument, I think, that my friend is making is a little bit in the reverse. [00:14:11] Speaker 03: The district court didn't address it, and we don't address it because when you go through the ALICE framework, we really don't think it comes up. [00:14:21] Speaker 03: I'd also like to address right off the bat the issue with respect to novelty, because that's a key point of all of their arguments. [00:14:32] Speaker 03: or most of their arguments are focused on the fact that the examiner allowed to claim the issue and found that the claimed invention was novel over the prior art. [00:14:42] Speaker 03: But as Your Honor recognized, the Supreme Court actually in Diamond v. Deere had said that novelty and non-obviousness are irrelevant to a finding of patent and eligibility. [00:14:55] Speaker 03: The statutory requirements under them are different. [00:15:00] Speaker 03: They're separate. [00:15:01] Speaker 03: And I think in Mayo they said it'll really make things confusing and complex if you try to conflate the two. [00:15:10] Speaker 03: So we would reject that. [00:15:12] Speaker 03: But even if personalizing content using social network information is new, [00:15:17] Speaker 03: It's still an abstract idea under step one and can't also be an inventive concept, which is what I think they are arguing. [00:15:26] Speaker 03: The other point that my friend raised was that the district court overgeneralized what the abstract idea was and that the district court should have said [00:15:39] Speaker 03: or should have included user social network information. [00:15:44] Speaker 03: But what the district court did is in looking at what the problem was that the patent was trying to address, you had digital media users weren't paying attention to the content. [00:15:57] Speaker 03: It was very easy for them just to swipe through the advertisements. [00:16:00] Speaker 03: And so how do you get the digital media content users to review the information? [00:16:07] Speaker 03: The specification goes into excruciating detail about the more information we can get about the user. [00:16:12] Speaker 03: If we know how the user feels, if we know their favorite football team, we can present information that's more impactful or more personalized. [00:16:20] Speaker 03: And that would make the users pay attention to the content. [00:16:24] Speaker 03: Neither the problem that was addressed or the solution that they came up with is a technical one. [00:16:30] Speaker 03: And so the court found that the abstract idea was presenting personalized content [00:16:36] Speaker 03: based on information about the user. [00:16:41] Speaker 03: There's no need, as my friend argues, to insert the type of information. [00:16:47] Speaker 03: The district court found that user social network information was merely a type of information. [00:16:54] Speaker 03: And this court has found that gathering or collecting information regardless of the type is an abstract idea. [00:17:01] Speaker 03: And so [00:17:03] Speaker 03: It wasn't necessary for the district court to say, let me put this abstract idea into the abstract idea. [00:17:10] Speaker 03: So I don't think there's an issue there. [00:17:12] Speaker 03: With respect to, my friend had argued what the invention does, what the claimed invention does. [00:17:20] Speaker 03: He says that it observes user interactions. [00:17:24] Speaker 03: It learns about the user's interactions. [00:17:27] Speaker 03: These were arguments that were made below in order to establish that there was improvement [00:17:32] Speaker 03: to technology. [00:17:34] Speaker 03: And they argued to the court that the claimed invention learns and analyzes users' interactions. [00:17:43] Speaker 03: The claimed invention substitutes information based on a rule-based algorithm. [00:17:49] Speaker 03: And the court said, well, where is that in the claim? [00:17:51] Speaker 03: And it wasn't there. [00:17:52] Speaker 03: But the court granted claim construction hearing. [00:17:58] Speaker 03: And Tentale's never even attempted to argue [00:18:01] Speaker 03: that those improvements were in the claim. [00:18:03] Speaker 03: And then we had the motion to dismiss a second time. [00:18:07] Speaker 03: And they continued to argue that these improvements of learning and analyzing, they're in the claim, even though they had never argued at the claim construction hearing, at their request, that they were in the claim. [00:18:20] Speaker 03: But now, on appeal, and in the tentacles brief, they use language like, [00:18:30] Speaker 03: The invention enhances digital media content. [00:18:34] Speaker 03: The invention impacts the user. [00:18:38] Speaker 03: The invention modifies and customizes content in real time during streaming. [00:18:44] Speaker 03: None of that is recited in the claim. [00:18:46] Speaker 03: And it certainly wasn't argued below. [00:18:49] Speaker 03: So on those two bases, I say there are no improvements that would take the claim out of the abstract and into the patent eligible. [00:18:57] Speaker 03: And even if we did consider it, there's no specificity with respect to any of the programming instructions that provides technical detail on how to accomplish the result. [00:19:07] Speaker 03: You know, you retrieve user social network information. [00:19:10] Speaker 03: Great. [00:19:10] Speaker 03: How do you retrieve it? [00:19:13] Speaker 03: You look at these attributes. [00:19:15] Speaker 03: Well, how are you looking at the attributes? [00:19:17] Speaker 03: If you're going to enhance, oh, let me take a step back. [00:19:20] Speaker 03: I'm sorry. [00:19:21] Speaker 03: Modify. [00:19:22] Speaker 03: I suspect that [00:19:26] Speaker 03: Tentales will argue that the claim does modify because there is language that says substitute based on a rule. [00:19:37] Speaker 03: But the court said, substitution based on the rule is any rule. [00:19:41] Speaker 03: But that's very different from saying that you modify or customize content in real time or while streaming. [00:19:49] Speaker 03: I've argued or I've litigated streaming patents. [00:19:52] Speaker 03: And they start talking about encoding and decoding data. [00:19:56] Speaker 03: They talk about bit streams. [00:19:57] Speaker 03: They talk about compressing data. [00:19:59] Speaker 03: None of that is in this particular patent. [00:20:02] Speaker 03: So I would argue that there are no proofs that take it out of the abstract. [00:20:08] Speaker 03: And then lastly, my friend argued that there were these plausible allegations that should [00:20:18] Speaker 03: grant them an inference. [00:20:21] Speaker 03: This was addressed at the district court as well. [00:20:23] Speaker 03: In fact, the district court had said in their request to amend, well, what other allegations would you want us to include? [00:20:30] Speaker 03: And they had none. [00:20:32] Speaker 03: They couldn't explain what they were. [00:20:34] Speaker 03: And so here, the allegations that they're trying to rely on are, number one, [00:20:41] Speaker 03: this novelty argument. [00:20:43] Speaker 03: But the novelty is irrelevant, and so it doesn't give a plausible reason or a plausible basis to draw an inference. [00:20:50] Speaker 03: The second thing that they argue, I mean, the second basis is regarding the improvements. [00:20:58] Speaker 03: But as the district court found with the analyzing, learning, and algorithm improvements, they're not in the claim. [00:21:06] Speaker 03: They're not supported by the specifications. [00:21:08] Speaker 03: So they can't grant this inference based on conclusory arguments. [00:21:13] Speaker 03: It's the same here on the appeal, although the language is different. [00:21:16] Speaker 03: There's nothing in the claim about enhancing. [00:21:19] Speaker 03: There's nothing in the claim about modifying in real time. [00:21:23] Speaker 03: The claim doesn't give us the information on how information is derived. [00:21:28] Speaker 03: and so forth. [00:21:29] Speaker 03: So there are no plausible arguments or plausible facts that would support the inference. [00:21:39] Speaker 03: And then one final point, and then I'll sit down. [00:21:44] Speaker 03: because I suspected it was addressed in the brief, and it was the idea of the ordered combination. [00:21:50] Speaker 03: When you look at the steps that are recited in the claimed programming instructions, they're set forth in a conventional and routine order that we would follow regardless of what we're personalizing, what type of content. [00:22:05] Speaker 03: You start with the content, you collect information about the user, you substitute in the personalized content, and then you present it to the user. [00:22:15] Speaker 03: Those are the same steps you would use if you had a newspaper company and you're trying to personalize ads based on somebody who lives in the suburbs and somebody who lives downtown. [00:22:27] Speaker 03: It's the same type of process you would follow if you have a TV company and you want to tailor the commercials to [00:22:35] Speaker 03: the kids who watch the cartoons in the morning or the adults who watch the news at night. [00:22:40] Speaker 03: Those are the same steps and we would submit that there's nothing new here other than using social network information. [00:22:49] Speaker 03: That's what the examiner found was new. [00:22:52] Speaker 03: But this court has found that retrieving information or [00:22:57] Speaker 03: modifying information and the like, whether it's targeted advertising or something more general, is abstract. [00:23:03] Speaker 03: Unless the court has any other questions. [00:23:05] Speaker 03: Thank you, Mr. Karnesky. [00:23:06] Speaker 02: Thank you, sir. [00:23:16] Speaker 01: So I think what we're doing is we're falling into the trap that we are looking for the lowest common denominator, which by definition is going to mean all patents are ineligible. [00:23:26] Speaker 01: All patents involve abstract ideas or things that have been known. [00:23:31] Speaker 01: That's what innovation is. [00:23:33] Speaker 01: And now we're saying, well, this is targeted advertising. [00:23:35] Speaker 01: And Mr. Konitsky acknowledges it's not just targeted advertising. [00:23:39] Speaker 01: It also includes social network information. [00:23:41] Speaker 01: But we don't need to have that in the claim because we don't need to insert that in the claim. [00:23:46] Speaker 01: It's recited in the claim. [00:23:48] Speaker 01: And it's an invention that our guy came up with in 2003 before people were doing it. [00:23:55] Speaker 01: Now, they're making billions of dollars off of having the most impactful feed for a user. [00:24:01] Speaker 01: And we're saying, our guy doesn't even have an invention. [00:24:03] Speaker 01: And it's been challenged at examination. [00:24:07] Speaker 01: It was challenged in an IPR. [00:24:08] Speaker 01: It was challenged in a re-exam. [00:24:11] Speaker 01: Confirm, confirm, confirm. [00:24:13] Speaker 01: And it was directed to a simple idea of targeted advertising. [00:24:21] Speaker 01: Where's the targeted advertising art to render it invalid? [00:24:26] Speaker 01: PTAB's looked at it. [00:24:29] Speaker 01: CRU just looked at it. [00:24:31] Speaker 01: It spent $4 million trying to kill this patent. [00:24:34] Speaker 01: And we're saying it's not even patentable subject matter. [00:24:37] Speaker 01: It's beyond the pale. [00:24:39] Speaker 01: And we have to look at what the claim limitations are. [00:24:42] Speaker 01: We have to look at preemption. [00:24:44] Speaker 01: Preemption does matter in all cases. [00:24:46] Speaker 01: Alice made it crystal clear. [00:24:48] Speaker 01: Preemption is the underlying concern of the judicial exceptions. [00:24:52] Speaker 01: If we're not preempting a building block of ingenuity, then it's patentable subject matter, because it's everything under the sun invented by man. [00:25:00] Speaker 01: That's what Congress intended. [00:25:03] Speaker 01: And we've got to get it back to that. [00:25:05] Speaker 01: They can challenge it again. [00:25:06] Speaker 01: OK, thank you. [00:25:07] Speaker 01: We're out of time.