The prolific Jaime Teevan has decided to blog, as evidenced by the creation of “Slow Searching” a few weeks ago. In a recent post, Jaime wrote about some ways in which Twitter search differed from web search, among which she included monitoring behavior, running “the same query over and over again just to see what is new.” Putting on my Lorite hat for a minute, this seems quite similar (albeit on a different timescale) to the “pre-web” concept of routing or standing queries. At some point, later, Google introduced Alerts, which seemed to be its reinvention of the same concept. And of course tools like TweetDeck make it much easier to keep up with particular Twitter topics.
Blog Archive: 2013
The skilled adversarial reviewer can find reasons to reject any paper without even reading it. This is considered truly blind reviewing. [Cormode, G.]
Many conferences request that submitted papers be anonymized by removing the authors’ names, tweaking the references, removing mentions of the authors’ organization in the paper, etc. The goal of the double-blind review process is to reduce the bias (positive or negative) that reviewers might have based on their knowledge of who wrote the paper. SIGIR, for example, included the following on their submission page for the 2013 conference:
Anonymity. SIGIR reviewing is double-blind. Therefore, please anonymize your submission. This means that all submissions must contain no information identifying the author(s) or their organization(s): Do not put the author(s) names or affiliation(s) at the start of the paper, anonymize citations to and mentions of your own prior work that are directly related to your present work, and do not include funding or other acknowledgments. For example, if you are using your product that is well known in the domain and you think it will be easy for an expert to identify you or your company, we recommend that you use another name for your product (e.g., MyProduct_ABC, MyCompany_ABC). If your paper is accepted, then you will replace the original name in the final version for the proceedings.
Papers that do not follow the above Style, Language, Anonymity instructions will be rejected without review. [emphasis mine]
And, apparently, in some cases, they followed through on this policy. In my opinion, this is too harsh.
Today ACM announced a way for authors to pay for publishing open-access papers in the ACM DL. For a mere $1100 per conference paper ($1300 per journal article) for ACM members, authors can grant free access to their publications to anyone who wants it. I am all for open access to academic publications, but I have my doubts about this scheme.
It’s that time of the year again, time to solicit your latest and greatest HCIR ideas in written and poster form. We are happy to announce that this year’s Human-Computer Information Retrieval Symposium (HCIR 2013) will be held on October 3 and 4 in Vancouver, BC. Building on last year’s meeting, we will have both short and full papers, as well as plenty of opportunity for discussion and interaction. Short papers will be presented at the poster session, while full papers will be peer-reviewed to first-tier conference standards, will get an regular oral presentation slot and will be archived in the ACM Digital Library, as were last year’s papers. The deadline for submission is June 30th. For more details, please see the CFP.
Over the past six years of the HCIR series of meetings, we’ve accumulated a number of publications. We’ve had a series of reports about the meetings, papers published in the ACM Digital Library, and an up-coming Special Issue of IP&M. In the run-up to this year’s event (stay tuned!), I decided it might be useful to consolidate these publications in one place. Hence, we now have the HCIR Publications page.
We are looking for an intern to work with us this summer in the area of social media analysis. The project will involve understanding and mining patterns within Twitter data, in both text and images. An ideal candidate is a PhD student with strong machine learning skills. Prior experience in image understanding, text data mining, social network analysis, or statistical modeling is a plus. If you are interested in this project, please send your CV to Dhiraj email@example.com or Francine firstname.lastname@example.org.