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An Open Letter to the USPTO

Following the Supreme Court’s decision in Bilski v. Kappos, the United States Patent and Trademark Office (USPTO) plans to release new guidance as to which patent applications will be accepted, and which will not. As part of this process, they are seeking input from the public about how that guidance should be structured. The following is an open letter than I have sent to the USPTO at Bilski_Guidance@uspto.gov. More information is available at http://en.swpat.org/wiki/USPTO_2010_consultation_-_deadline_27_sept and http://www.fsf.org/news/uspto-bilski-guidance. As with all of my posts, the following represents my personal opinion and is not the opinion or policy of my employer.

To whom it may concern at the United States Patent Office:

Since completing my undergraduate studies in mathematics and computer science at the Massachusetts Institute of Technology (MIT) and my doctorate in computer science at Carnegie Mellon University (CMU), I have spent my entire professional life in software research and development. I have worked at large software companies, such as IBM, AT&T, and Google, and I also was a founding employee at Endeca, an enterprise software company where I served as Chief Scientist. I am a named inventor on eight United States patents, as well as on eighteen pending United States patent applications. I played an active role in drafting and prosecuting most of these patents. I have also been involved in defensive patent litigation, which in one case resulted in the re-examination of a patent and a final rejection of most of its claims.

As such, I believe my experience gives me a balanced perspective on the pros and cons of software patents.

As someone who has developed innovative technology, I appreciate the desire of innovators to reap the benefits of their investments. As a founding employee of  a venture-backed startup, I understand how venture capitalists and other investors value companies whose innovations are hard to copy. And I recognize how, in theory, software patents address both of these concerns.

But I have also seen how, in practice, software patents are at best a nuisance and innovation tax and at worst a threat to the survival of early-stage companies. In particular, I have witnessed the proliferation of software patents of dubious validity that has given rise to a “vulture capitalist” industry of non-practicing entities (NPEs), colloquially known as patent trolls, who aggressively enforce these patents in order to obtain extortionary settlements. Meanwhile, the software companies where I have worked follow a practice of accumulating patent portfolios primarily in order to use them as deterrents against infringement suits by companies that follow the same strategy.

My experience leads me to conclude that the only beneficiaries of the current regime are patent attorneys and NPEs. All other parties would be benefit if software were excluded from patent eligibility. In particular, I don’t believe that software patents achieve either of the two outcomes intended by the patent system: incenting inventors to disclose (i.e., teach) trade secrets, and encouraging investment in innovation.

First, let us consider the incentive to disclose trade secrets. In my experience, software patents fall into two categories. The first category focuses on interfaces or processes, avoiding narrowing the scope to any non-obvious system implementation details. Perhaps the most famous example of a patent in this category is Amazon’s “one-click” patent. The second category focuses on algorithm or infrastructure innovations that typically implemented as inside of proprietary closed-source software. An example in this category is the patent on latent semantic indexing, an algorithmic approach used in search and data mining applications. For the first category, patents are hardly necessary to incent disclosure, as the invention must be disclosed to realize its value. Disclosure is meaningful for patents in the second category, but in my experience most companies do not file such patents because they are difficult to enforce. Without access to a company’s proprietary source code, it is difficult to prove that said source code is infringing on a patent. For this reason, software companies typically focus on the first category of patents, rather than the second. And, as noted, this category of innovation requires no incentive for disclosure.

Second, let us ask whether software patents encourage investment in innovation. Specifically, do patents influence decisions by companies, individual entrepreneurs, or investors to invest time, effort, or money in innovation?

My experience suggests that they do not. Companies and entrepreneurs innovate in order to further their business goals and then file patents as an afterthought. Investors expect companies to file patents, but only because everyone else is doing it, and thus patents offer a limited deterrent value as cited above. In fact, venture capitalists investing in software companies are some of the strongest voices in favor of abolishing software patents. Here are some examples:

Chris Dixon, co-founder of software companies SiteAdvisor and Hunch and of seed-stage venture capital fund Founder Collective, says:

Perhaps patents are necessary in the pharmaceutical industry. I know very little about that industry but it would seem that some sort of temporary grants of monopoly are necessary to compel companies to spend billions of dollars of upfront R&D.

What I do know about is the software/internet/hardware industry. And I am absolutely sure that if we got rid of patents tomorrow innovation wouldn’t be reduced at all, and the only losers would be lawyers and patent trolls.

Ask any experienced software/internet/hardware entrepreneur if she wouldn’t have started her company if patent law didn’t exist. Ask any experienced venture investor if the non-existence of patent law would have changed their views on investments they made. The answer will invariably be no (unless their company was a patent troll or something related).

http://cdixon.org/2009/09/24/software-patents-should-be-abolished/

Brad Feld, co-founder of early-stage venture capital firms Foundry GroupMobius Venture Capital and TechStars, says:

I personally think software patents are an abomination. My simple suggestion on the panel was to simply abolish them entirely. There was a lot of discussion around patent reform and whether we should consider having different patent rules for different industries. We all agreed this was impossible – it was already hard enough to manage a single standard in the US – even if we could get all the various lobbyists to shut up for a while and let the government figure out a set of rules. However, everyone agreed that the fundamental notion of a patent – that the invention needed to be novel and non-obvious – was at the root of the problem in software.

I’ve skimmed hundreds of software patents in the last decade (and have read a number of them in detail.) I’ve been involved in four patent lawsuits and a number of “threats” by other parties. I’ve had many patents granted to companies I’ve been an investor in. I’ve been involved in patent discussions in every M&A transaction I’ve ever been involved in. I’ve spent more time than I care to on conference calls with lawyers talking about patent issues. I’ve always wanted to take a shower after I finished thinking about, discussing, or deciding how to deal with something with regard to a software patent.

I’ll pause for a second, take a deep breath, and remind you that I’m only talking about software patents. I don’t feel qualified to talk about non-software patents. However, we you consider the thought that a patent has to be both novel AND non-obvious (e.g. “the claimed subject matter cannot be obvious to someone else skilled in the technical field of invention”), 99% of all software patents should be denied immediately. I’ve been in several situations where either I or my business partner at the time (Dave Jilk) had created prior art a decade earlier that – if the patent that I was defending against ever went anywhere – would have been used to invalidate the patent.

http://www.feld.com/wp/archives/2006/04/abolish-software-patents.html

Fred Wilson, managing partner of venture-capital firm Union Square Ventures:

Even the average reader of the Harvard Business Review has a gut appreciation for the fundamental unfairness of software patents. Software is not the same as a drug compound. It is not a variable speed windshield wiper. It does not cost millions of dollars to develop or require an expensive approval process to get into the market. When it is patented, the “invention” is abstracted in the hope of covering the largest possible swath of the market. When software patents are prosecuted, it is very often against young companies that independently invented their technology with no prior knowledge of the patent.

http://www.unionsquareventures.com/2010/02/software-patents-are-the-problem-not-the-answer.php

In summary, software patents act as an innovation tax rather than a catalyst for innovation. Perhaps it is possible to resolve the problems of software patents through aggressive reform. But it would be better to abolish software patents than to maintain the status quo.

Sincerely,

Daniel Tunkelang

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New Web Site for HCIR Workshop

In 2007, I persuaded MIT graduate students Michael Bernstein and Robin Stewart (who was interning at Endeca that summer) to help organize the first Workshop on Human-Computer Information and Information Retrieval (HCIR 2007), which we held at MIT and Endeca. Its success convinced us to keep going, and we enjoyed record attendance at this year’s HCIR 2010, held at Rutgers University.

As the workshop has grown, we as organizers have realized that we need to invest a little in its online presence. A first step in that direction is a new site for the workshop: http://hcir.info/. The site contains all of the proceedings from the four annual workshops in one place. It is powered by Google Sites, which will make it easy for a bunch of us (and perhaps some of you) to collaboratively maintain it.

I hope everyone here finds the new site useful. Please feel free to come forward with ideas for improving it! But be warned–if you have a great idea, I might ask you to implement it yourself.

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Off to Geneva for SIGIR

I’m flying to Geneva tonight to attend SIGIR. Hope to see some of you there! I’ll be back in a week and will post highlights and personal reactions.

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Paul Adams’s Presentation on Social Networking

http://static.slidesharecdn.com/swf/doc_player.swf?doc=vtm2010-100701010846-phpapp01&stripped_title=the-real-life-social-network-v2

This presentation by Paul Adams, lead for User Research for Social at Google, has been making the rounds in the blogosphere. It’s long (over 200 slides!) but well worth the time to read it, even if you’re already familiar with the ethnography of online social behavior. It touches on all things online and social, from the theory of strong and weak ties to social influence to privacy. Enjoy!
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Gridworks and Needlebase

One of the big challenges of working with heterogeneous data is curating it. Below are introductions to two tools for doing do:

If you’re concerned with building and maintaining collections of semi-structured data, or building your own technology for this purpose, I suggest you check out these state-of-the-art tools.

http://vimeo.com/moogaloop.swf?clip_id=10081183&server=vimeo.com&show_title=1&show_byline=1&show_portrait=0&color=&fullscreen=1

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HCIR 2010 Submission Deadlines Approaching

Just a reminder to all of you HCIR people out there that the submission deadline for the HCIR 2010 Workshop on Human-Computer Interaction and Information Retrieval is rapidly approaching! Research papers and position papers are due on Monday, June 14th, and HCIR Challenge reports are due on Monday, July 9th. We’re looking forward to an exciting workshop co-located with the Information Interaction in Context Symposium (IIiX 2010).

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Elastic Lists for Faceted Search — Now Open Source!

If you like faceted search and are interested in design patterns for it, I encourage you to check out Moritz Stefaner‘s work on elastic lists. Here is his description:

Elastic lists allow to navigate large, multi-dimensional info spaces with just a few clicks, never letting you run into situations with zero results. They enhance traditional UI approaches for facet browsers by visualizing weight proportions, animated transitions, emphasis of characteristic values and sparkline visualizations.

And the good news is that elastic lists are now an open source project, available under an Apache 2.0 license. Also available for free is a book chapter on faceted search user interface design that Stefaner co-authored last year.

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People You May Know — Now With Faceted Search!

I was just looking at LinkedIn and found myself pleasantly surprised by a minor UI improvement in the “People You May Know” widget: as you delete people you don’t know, the widget now updates without your having to go to another page or refresh the home page. Curious, I looked to see if LinkedIn had blogged about it.

What I discovered was an even nicer surprise: LinkedIn now connects the People You May Know feature to its faceted search interface. Indeed, they blogged about it earlier this week. Props to LinkedIn for continuing to advance the state of the art in people search!

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The Google Job Experiment

This is just so brilliant that I had to post it here. I’ve blogged in the past about alerting spam, but this guy took the idea to a new level, with great return on investment. Perhaps the news about this story will make the tactic more popular and thus less effective through dilution. Still, it’s fun to see how people exploit inefficiencies in attention markets.

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Something Different from Google New York

Earlier this week, I mentioned that my colleagues here at Google New York were working cool stuff. Today some of them officially blogged about it! Check out today’s official Google blog post about “Understanding the web to find short answers and ‘something different‘” by engineer John Provine, which talks about Google’s latest work in question answering and exploratory search.

Examples:

  • A question like [gdp of usa] returns a chart derived from public data.
  • Searching for [dora] (yes, I have a 2-year old!) suggests elmo, mickey mouse, barney, scooby doo, and bratz as “something different”.

I’m thrilled to see my colleagues’ work  getting more visibility.