Tag Archives: Reviews

hReview: a semantic microformat for reviews

Some weeks ago, Tantek was introducing a new microformat hReview.
We are pleased to announce the first public draft (v0.1) of hReview, jointly co-authored by representatives from America Online, CommerceNet Labs, Microsoft, Six Apart, Technorati, and Yahoo!. hReview is an open microformat standard for publishing and indexing distributed reviews on the Web. This standard enables users to contribute, identify, and aggregate review content on their own web sites and blogs as well as on community sites.
I didn’t have time yet to dig into it but it is good that they analyzed previous attempts (I was trying to use RVW by Alf Eaton and to keep my list on Allconsuming but I didn’t put too much effort into this) and that they ask for Feedback; almost all the links are to Wikipages so you can edit them directly there.
In general I really appreciate the work of Technorati (I also wrote a paper backing their proposal of VoteLinks, submitted to Web Intelligence 2005: “Page-reRank: using trusted links to re-rank authority” (pdf)).
Some other link I’ll try to digest later on: jluster on hreview, hreview on technorati, hreview on del.icio.us, organizedshopping on hreview, adriancuthbert suggested to use this_is_an_hreview as common tag (tagspace?).
It would be great to have this format widely adopted so that the amount of decentralized published reviews will become soon huge and I will have a large amount a data for what I’m working on in my PhD: Trust-aware decentralized Recommender Systems. If interested, check my (a bit outdated) PhD proposal at my papers page.

Paper accepted at AAAI05: “Controversial Users demand Local Trust Metrics: an Experimental Study on Epinions.com Community”

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A paper of mine titled “Controversial Users demand Local Trust Metrics: an Experimental Study on Epinions.com Community” (pdf) got accepted for the Twentieth National Conference on Artificial Intelligence (AAAI-05)! Cool! The email I received this morning says “Your paper was one of 148 accepted to AAAI-05, out of 803 submissions. AAAI is a highly selective conference, and you are to be congratulated on your paper’s acceptance.” This means acceptance rate is 18%. Let me know if you like/dislike the paper or want to discuss its topic a bit. I think controversiality is an important theme and I think there are too many papers that assume that every user/agent has a global goodness value that is the same for everyone (there are some users that are bad for everyone and the goal of the technique is to spot them out). This assumption is unrealistic: just think of Bush or Berlusconi … some people like them (yeah, I know it’s kinda incredible) and some other don’t. My paper hopefully provide some evidence about this intuitive phenomena. You might also want to check other papers of mine.

Title: Controversial Users demand Local Trust Metrics: an Experimental Study on Epinions.com Community
Abstract: In today’s connected world it is possible and very common to interact with unknown people, whose reliability is unknown. Trust Metrics are a recently proposed technique for answering questions such as “Should I trust this user?”. However, most of the current research
assumes that every user has a global quality score and that the goal of the technique is just to predict this correct value. We show, on data from a real and large user community, epinions.com, that such an assumption is not realistic because there is a signicant
portion of what we call controversial users, users who are trusted and distrusted by many. A global agreement about the trustworthiness value of these users cannot exist. We argue, using computational experiments, that the existence of controversial users (a normal phenomena in societies) demands Local Trust Metrics, techniques able to predict the trustworthiness of an user in a personalized way, depending on the very personal view of the judging user.

Randomly-generated paper accepted for a conference!

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Too funny, too sad. SCIgen is an Automatic Computer Science Paper Generator. The program (GPL-licenced and hence Free Software) generates random Computer Science research papers, including graphs, figures, and citations. I was thinking about doing something like it since a lot of time, but wait … one of the random paper got accepted for a conference!!!
One useful purpose for such a program is to auto-generate submissions to “fake” conferences; that is, conferences with no quality standards, which exist only to make money. A prime example, which you may recognize from spam in your inbox, is SCI/IIIS and its dozens of co-located conferences (for example, check out the gibberish on the WMSCI 2005 website). Using SCIgen to generate submissions for conferences like this gives us pleasure to no end. In fact, one of our papers was accepted to SCI 2005! See Examples for more details.
The accepted paper is Rooter: A Methodology for the Typical Unification of Access Points and Redundancy by Jeremy Stribling, Daniel Aguayo and Maxwell Krohn and the “authors” say We are currently working on the “camera-ready”, and received many donations to send us to the conference, so that we can give a randomly-generated talk. Ehi, researcher! You can cite it! After all it is a published paper! Not the crappy stuff you find on blogs! Beware, never cite an online article, only articles published on the old paper at one of the millions of crappy iper-expensive conferences!
And, in case you want to cite a paper of mine, I just created “A Case for Randomized Algorithms” and “Comparing XML and Markov Models” or you can just generate a new paper for me. Writing a paper is now easier than ever!!! I need to click 8 more times on this link and then I can just spend one year on holidays since I already produced a good amount of papers.
[I found the news on BoingBoing, a blog reseachers should cite sometime…]

Review of “Quality Control in Scholarly Publishing”