======================================================================

         CALL FOR PAPERS
         ACM RecSys'09 Workshop on Recommender Systems & the Social Web

         New York, October 25, 2009
         http://ls13-www.cs.uni-dortmund.de/homepage/RSWEB/
         Submission Deadline:  July 13, 2009

======================================================================
The Social Web has been enjoying huge popularity in recent years,
attracting millions of visitors on sites such as Facebook, Delicious,
YouTube.  We are no longer mere consumers of information, but we also
actively participate in social networks, upload our personal images,
share our bookmarks, write web logs and annotate and comment on the
information provided by others.

This Social Web provides huge opportunities for recommender technology
and in turn recommender technologies can play a part in fuelling the
success of the Social Web phenomenon as new application areas for RS
technology emerge, new sources of knowledge for RS become available,
and richer user Web interfaces are possible.

The goal of this workshop is to explore, discuss, and understand new
opportunities for recommender systems and the social Web. We solicit
original contributions in the following areas:

* Economy of community-based systems:
* Encouraging users to contribute and sustain participation.
* Social network and folksonomy development:
* Recommending friends, tags, bookmarks, blogs, music, communities etc.
* Recommender systems mash-ups, Web 2.0 user interfaces, rich media
   recommender systems
* Collaborative knowledge authoring, collective intelligence
* Recommender applications involving users or groups directly in the
   recommendation process
* Exploiting folksonomies, social network information, interaction,
   user context and communities or groups for recommendations
* Trust and reputation aware social recommendations
* Semantic Web recommender systems, use of ontologies or microformats
* Empirical evaluation of social recommender techniques, success and
   failure measures
* Case studies and fielded applications
* Barriers of acceptance for social recommendations and the role of
   social dynamics and online identities in acceptance of recommendations

======================================================================
IMPORTANT DATES
======================================================================

* July 13, 2009: Paper/position statement submission due
* August 10, 2009: Notification of workshop submitters
* August 17, 2009: Camera-ready workshop abstract due
* October 25, 2009: Workshop held

======================================================================
PAPER SUBMISSION
======================================================================
Papers should be submitted PDF format by email to
     rsweb09@....

The formatting guidelines of the ACM'09 Recommender Systems apply
(see http://recsys.acm.org/submission.html). Paper selection will be
based on a peer review process; there will be no blind review process
- author names and affiliations should be included in the paper.

Paper categories:
* Long papers (up to 8 pages) describing original research results
   or case studies.
* Short papers (up to 4 pages) describing preliminary results or
   work-in-progress.

Demos:
* Workshop participants can also show demos. Demos should be submitted
   as a short paper describing the research and the demo itself.

======================================================================
Organizers
======================================================================
Dietmar Jannach, TU Dortmund, Germany
Werner Geyer, IBM Research, Cambridge, MA, USA
Jill Freyne, CSIRO, TasICT Centre, Australia
Sarabjot Singh Anand, University of Warwick, UK
Casey Dugan, IBM Research, Cambridge, MA, USA
Bamshad Mobasher, DePaul University, USA
Alfred Kobsa, University of California, Irvine, USA

The source of the spam was that anyone could join the group without admin
approval and could post messages without admin approval.

I've turned on both limits to this list, banned several spam accounts that were
already list members, and blocked the spam messages they tried to post.

Hopefully, the spam on this list should now approach zero.


Sean

--- In RecommenderSystems@yahoogroups.com, "Mark van Setten"
<mark.vansetten@...> wrote:
>
> I am still watch it, though most of the mails here are spam, so if you
> can change the spam threshold to filter out more spam that would be
> great.
>
> Maybe it would be wise to promote this mailing list at the upcoming ACM
> Recommender Systems 2009 conference in New York. Maybe that would
> restart the mailing list again.
>
>
>
> Regards,
>
>
>
> Dr. Ir. Mark van Setten
>
>
>
> Novay
>
> Senior Researcher
>
> P.O. Box 589
>
> 7500 AN  Enschede
>
> The Netherlands
>
>
>
>
>
>
>
> From: RecommenderSystems@yahoogroups.com
> [mailto:RecommenderSystems@yahoogroups.com] On Behalf Of smmcnee
> Sent: donderdag 18 juni 2009 18:39
> To: RecommenderSystems@yahoogroups.com
> Subject: [RecommenderSystems] Still reading recommender systems?
>
>
>
>
>
>
>
>
> For all of you still out there, is this group worth keeping around?
>
> I have moderation privs, and I can reduce the spam threshold
> considerably. The question is one of whether there still is interest in
> this group or not.
>
> If I don't hear anything back from anyone whatsoever, then I'll consider
> killing this group.
>
> Sean
>
> P.S. RecSys09, the ACM Conference on Recommender Systems is happening
> this fall in NYC. It's too late to submit papers, but there also
> workshops and tutorials.
>

For all of you still out there, is this group worth keeping around?

I have moderation privs, and I can reduce the spam threshold considerably.  The
question is one of whether there still is interest in this group or not.

If I don't hear anything back from anyone whatsoever, then I'll consider killing
this group.


Sean


P.S.  RecSys09, the ACM Conference on Recommender Systems is happening this fall
in NYC.  It's too late to submit papers, but there also workshops and tutorials.

[Please circulate among your colleagues. Apologies for multiple copies.]

--------------------------------------------------------------------------
      ACM Recommender Systems 2008 Doctoral Symposium, Lausanne, Switzerland
      Symposium Date: October 26th
      http://recsys.acm.org/doctoral.html
--------------------------------------------------------------------------

Co-Chairs:

Alexander Felfernig, Klagenfurt University, Austria
Joseph A. Konstan, University of Minnesota, United States


Message from the Chairs
=======================

The Recommender Systems 2008 Doctoral Symposium provides an opportunity
for doctoral students to explore and develop their research interests in
an interdisciplinary workshop, under the guidance of a panel of
distinguished research faculty. We invite students who feel they would
benefit from this kind of feedback on their dissertation work to apply
for this unique opportunity to share their work with students in a
similar situation as well as senior researchers in the field. The
strongest candidates will be those who have an idea and an area, and
have made some progress, but who are not so far along that they can no
longer make changes. Typically, this means they will have made their
dissertation proposal, but still be about a year from completion.

Contact us: recsys-doctoral@...


About the Doctoral Symposium
============================

The symposium has the following objectives:

     1. Provide a supportive setting for feedback on students' current
research and guidance on future research directions.
     2. Offer each student comments and fresh perspectives on their work
from faculty and students outside their own institution.
     3. Promote the development of a supportive community of scholars and
a spirit of collaborative research.
     4. Contribute to the conference goals through interaction with other
researchers and conference events.

The symposium will be held on October 26th (Sunday). About 5-8 doctoral
students and four faculty will be invited to participate. Student
participants will have their abstracts published in the conference
proceedings and will exhibit a poster of their work at the main
conference.

All participants are expected to attend the entire symposium, including
a group dinner taking place before the conference. Each student will
present his or her work to the group with substantial time allowed for
discussion and questions by participating faculty and other students.

Being accepted into the symposium is an honor, and involves a commitment
to giving and receiving thoughtful commentary with an eye towards
shaping the field and upcoming participants in the field.


Applying for the Doctoral Symposium
===================================

Submissions are invited from current graduate students pursuing a PhD
project who would benefit from detailed workshop discussions of their
doctoral research by a panel of established researchers. Selected
applicants will receive money for four night's hotel accommodations.
Additional funding will be available; please check back here or email
the chairs for updates.

Submission materials consist of:

     1. An extended abstract (see below)
     2. A curriculum vitae
     3. A one-paragraph statement of expected benefits of participation
(see below)
     4. A letter of recommendation from the student's primary dissertation
advisor

Submissions should consist of two different email messages to:
recsys-doctoral@... due by June 8, 5:00 PM (1700) Pacific
Daylight Time. One should consist of all the materials except the
recommendation letter in the form of a single PDF file. Your file should
be named lastname_ds.pdf, where lastname is your family name. The file
must be no larger than 5 Mbytes in size. The subject line of the message
should be lastname_ds_appl. The other message should contain the
recommendation letter from your advisor. Please ask your advisor to name
the file (and set the email subject) according to the convention:
studentLastName_ds_ref. We will send email acknowledgements to you when
your application is received and to your advisor when his/her
recommendation is received.


Extended Abstract
=================

Prepare a four-page extended abstract of your thesis work in the ACM SIG
Proceedings Format, including: title, author information, abstract,
keywords, thesis research summary, and references. The extended
abstract, if accepted for the Doctoral Symposium, will be published in
the Conference Proceedings. There will not be time for revision if you
are selected; therefore, your submitted version will be published if you
are selected. The extended abstract will be evaluated with regard to:

     1. Originality of the work with respect to current concepts and
techniques
     2. Importance of the work with respect to fundamental issues and
themes in recommender systems
     3. Rigor and validity of claims, argumentation, methodology, results,
and interpretations
     4. Clarity and persuasiveness of expression

Example abstracts accepted for the Recommender Systems '07 Doctoral
Symposium can be found here.

Additional factors, such as position within the doctoral process and
institutional representation, may be taken into account if the number of
applicants is particularly large. Candidates who have a developed idea
but who still have time to be influenced will receive the strongest
consideration. This typically means that the candidate will have made a
dissertation proposal but still be approximately a year away from
completion. Participants in the symposium will be selected by the
Doctoral Symposium Committee.


Confidentiality
===============

Confidentiality of submissions is maintained during the review process.
All rejected submissions will be kept confidential in perpetuity. All
submitted materials for accepted submissions will be kept confidential
until the start of the conference (with the exception that the
contributions will be made available to the symposium participants one
week before the event). Submissions should contain no information or
materials that are proprietary at publication time.


Doctoral Symposium Checklist
============================

Well in advance of the deadline (June 8, 5:00 PM (1700) Pacific Daylight
Time):

     1. Create your submission materials:
           a. Write an extended abstract according to the ACM SIG
Proceedings Format. The abstract must print to no more than 4 pages.
           b. Write a curriculum vitae
           c. Write a one-paragraph statement of expected benefits of
participation
           d. Obtain a letter of recommendation from your primary
dissertation advisor
     2. Package all materials except the recommendation into a single PDF
file. Name it according to the following convention: lastname_ds.pdf.
Email it to recsys-doctoral@.... The letter of
recommendation must be directly by your advisor, also to
recsys-doctoral@.... Please ask your advisor to name the
file (and set the email subject) according to the convention:
studentLastName_ds_ref. An email receipt of the letter will be sent to
your advisor.
     3. Test that your PDF prints correctly and that is it no larger than
5 Mbytes


--
Sean M. McNee, Ph.D.
Nil Desperandum.

Workshop on Large-Scale Recommender Systems and the Netflix Prize
Competition
http://netflixkddworkshop2008.info/

Held in conjunction with
The 13th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD 2008)

August 24-27, 2008, Las Vegas, NV

Workshop Description

Recommender systems have emerged over the last several years as an
important area of research spanning the boundaries of such diverse set of
disciplines as data mining, machine learning, information retrieval,
human-computer interaction, marketing and operations research. Interest in
recommender systems was further enhanced when Netflix announced its
$1,000,000 prize competition in October 2006 that attracted over 20,000
participants from 167 different countries. One of the sub-fields of
recommender systems that benefited very significantly from the Netflix
Prize competition is the area of large-scale recommender systems, which
deals with scaling recommendation methods to large datasets. Many Netflix
competitors came to realize that some of the well-known recommendation
algorithms would not scale well to the Netflix dataset. In addition, some
of the most popular and well-regarded methods would perform poorly on the
Netflix dataset . maybe because the asymptotic performance of these
methods is quite different from their performance on smaller datasets.

Workshop Topics

This workshop will address these scalability and performance issues by
focusing on recommendation methods explicitly designed to handle large
data sets. The topics of interest include (but are not limited to):

      * Novel recommendation models, emphasizing accuracy, performance and
asymptotic behavior
      * Scalability problems in recommender systems
      * Novel evaluation methodologies for recommendation quality
      * Efficient integration of multiple complementary predictors
      * Studies of content-filtering vs. collaborative filtering and their
integration in large-scale environments
      * Explaining and presenting recommendations to end-users
      * Idiosyncrasies of the Netflix Prize Dataset and lessons learned from
its analysis
      * Netflix Prize competition at large

Paper Submission

We invite the submission of papers on these and related topics by
researchers in the recommender systems field as well as the participants
of the Netflix Prize competition. All submitted papers will be evaluated
by the workshop program committee based on scientific merits and novelty
as perceived by the committee. Accepted papers will appear in the workshop
proceedings. At least one author of each accepted paper is expected to
register for the workshop and present the paper.

The papers may be submitted either as full or short papers. The page limit
for a full paper is 8 pages and for a short paper is 4 pages inclusive of
all references and figures. All submitted papers must be in the PDF format
and use standard templates that can be found here.

Please submit your manuscript in PDF format at the paper submission
website.

Important Dates

      * May 30, 2008: Electronic submission of full papers & abstracts
      * June 27, 2008: Author notification
      * July 7, 2008: Submission of Camera-ready papers
      * August 24, 2008: Workshop in Las Vegas, California

Workshop Co-Chairs

      * Alex Tuzhilin (chair), NYU Stern . E-mail: atuzhili @ stern.nyu.edu
      * Yehuda Koren (co-chair), AT&T Labs--Research. E-mail: yehuda @
research.att.com
      * Jim Bennett, Netflix. E-mail: jbennett @ netflix.com
      * Charles Elkan, University of California, San Diego. E-mail: elkan @
cs.ucsd.edu
      * Daniel Lemire, University of Quebec at Montreal (UQAM). E-mail:
lemire @ acm.org

Disclaimer: To avoid conflict of interest, participants in the Netflix
Prize competition will not handle submitted papers, and will not be
involved in the paper selection and reviewing process.

--
Sean M. McNee, Ph.D.
Nil Desperandum.

====================================================

    SECOND CALL FOR PAPERS (Deadline November 18)

    AI Communications:
    SPECIAL ISSUE ON RECOMMENDER SYSTEMS

====================================================

    SPECIAL ISSUE HOMEPAGE:
    http://www.configworks.com/AICOM/index.html

    PAPER SUBMISSION DEADLINE:
    November 18, 2007

    GUEST EDITORS:
    Dietmar Jannach, Joseph Konstan and Markus Zanker

====================================================

SCOPE:

Recommender Systems have proven to be a valuable means for online
users to cope with the virtual information overload. Correspondingly,
various techniques for information filtering and recommendation
generation have been proposed and during the last decade, many of
them have also been successfully deployed in commercial environments.

Still, research in Recommender Systems has not come to an end, in
particular because the growing number of practical applications of
such systems continuously raises new research questions.
Innovative applications of recommender technology for instance may
require more interactivity between the system and the online user or
even different forms of recommendation reasoning. In addition, trust
in the system's proposals and its explanations may play an important
role for consolidating the acceptance of such systems. Finally, in
order to further promote the industrial application of recommendation
technology, the understanding of the effects of recommender systems
on the user's buying behaviour has to be further improved and evaluated.

This special issue of AI Communications shall concentrate on recent
research in these areas and thus solicits research articles on
recommender system algorithms and applications, including
but not limited to:

* Advances in recommendation techniques and algorithms
* Recommender system user interfaces and conversational approaches
* Explanations in recommender systems
* Hybrid approaches
* Evaluation of real-world recommender applications
* Group recommender systems
* Security and trust in recommender systems
* Semantic Web technologies and recommender systems
* New application areas for recommender system technology
* Consumer decision making and consumer buying behaviour models.

PAPER SUBMISSION:

Articles should be prepared according to the AICOM guidelines described
at http://aicom.star.dist.unige.it/cfp.html and should be submitted
via e-mail to dietmar@.... Extended and revised
versions of papers published in conference or workshop proceedings are
also welcome. Paper submitters may be asked to review other papers
submitted to the special issue.

TIMELINE:

- Submissions due to review: 18 Nov. 2007
- Final decisions: 31 Jan 2008
- Final versions due: 29 Feb 2008

GUEST EDITORS:

Dietmar Jannach, University Klagenfurt, Austria
dietmar@...

Joseph A. Konstan. University of Minnesota
konstan@...

Markus Zanker, University Klagenfurt, Austria
markus@...


JOURNAL HOMEPAGE:
http://aicom.star.dist.unige.it

SPECIAL ISSUE HOMEPAGE / CFP:
http://www.configworks.com/AICOM/index.html



--
Sean M. McNee, Ph.D.
Nil Desperandum.

[Announced to the user-modeling mailing list, among others]

Dear colleagues,

Please, find below more detailed information about the Adaptive Web
book. The book was written as a stat-of-the-art review and a textbook
for graduate courses on adaptive Web, adaptive information systems and
like. Since it has been published in LNCS, separate chapters are
accessible online from Springer site. Many universities has free access
to this volume, it make sense to check before purchasing this book.

Peter Brusilovsky
===========================

The Adaptive Web: Methods and Strategies of Web Personalization
Peter Brusilovksy, Alfred Kobsa, Wolfgang Nejdl, eds.
Springer Lecture Notes in Computer Science, Vol. 4321/2007
Print edition: ISBN 978-3-540-72078-2
Online: http://dx.doi.org/10.1007/978-3-540-72079-9


TABLE OF CONTENTS

I. MODELING TECHNOLOGIES

User Models for Adaptive Hypermedia and Adaptive Educational Systems
Peter Brusilovsky and Eva Millán
http://dx.doi.org/10.1007/978-3-540-72079-9_1

User Profiles for Personalized Information Access
Susan Gauch, Mirco Speretta, Aravind Chandramouli and Alessandro Micarelli
http://dx.doi.org/10.1007/978-3-540-72079-9_2

Data Mining for Web Personalization
Bamshad Mobasher
http://dx.doi.org/10.1007/978-3-540-72079-9_3

Generic User Modeling Systems
Alfred Kobsa
http://dx.doi.org/10.1007/978-3-540-72079-9_4


II. ADAPTATION TECHNOLOGIES

Web Document Modeling
Alessandro Micarelli, Filippo Sciarrone and Mauro Marinilli
http://dx.doi.org/10.1007/978-3-540-72079-9_5

Personalized Search on the World Wide Web
Alessandro Micarelli, Fabio Gasparetti, Filippo Sciarrone and Susan Gauch
http://dx.doi.org/10.1007/978-3-540-72079-9_6

Adaptive Focused Crawling
http://dx.doi.org/10.1007/978-3-540-72079-9_7
Alessandro Micarelli and Fabio Gasparetti

Adaptive Navigation Support
Peter Brusilovsky
http://dx.doi.org/10.1007/978-3-540-72079-9_8

Collaborative Filtering Recommender Systems
J. Ben Schafer, Dan Frankowski, Jon Herlocker and Shilad Sen
http://dx.doi.org/10.1007/978-3-540-72079-9_9

Content-Based Recommendation Systems
Michael J. Pazzani and Daniel Billsus
http://dx.doi.org/10.1007/978-3-540-72079-9_10

Case-Based Recommendation
Barry Smyth
http://dx.doi.org/10.1007/978-3-540-72079-9_11

Hybrid Web Recommender Systems
Robin Burke
http://dx.doi.org/10.1007/978-3-540-72079-9_12

Adaptive Content Presentation for the Web
Andrea Bunt, Giuseppe Carenini and Cristina Conati
http://dx.doi.org/10.1007/978-3-540-72079-9_13

Adaptive 3D Web Sites
Luca Chittaro and Roberto Ranon
http://dx.doi.org/10.1007/978-3-540-72079-9_14


III. APPLICATIONS

Adaptive Information for Consumers of Healthcare
Alison Cawsey, Floriana Grasso and Cécile Paris
http://dx.doi.org/10.1007/978-3-540-72079-9_15

Personalization in E-Commerce Applications
Anna Goy, Liliana Ardissono and Giovanna Petrone
http://dx.doi.org/10.1007/978-3-540-72079-9_16

Adaptive Mobile Guides
Antonio Krüger, Jörg Baus, Dominik Heckmann, Michael Kruppa and Rainer
Wasinger
http://dx.doi.org/10.1007/978-3-540-72079-9_17

Adaptive News Access
Daniel Billsus and Michael J. Pazzani
http://dx.doi.org/10.1007/978-3-540-72079-9_18


IV. CHALLENGES

Adaptive Support for Distributed Collaboration
Amy Soller
http://dx.doi.org/10.1007/978-3-540-72079-9_19

Recommendation to Groups
Anthony Jameson and Barry Smyth
http://dx.doi.org/10.1007/978-3-540-72079-9_20

Privacy-Enhanced Web Personalization
Alfred Kobsa
http://dx.doi.org/10.1007/978-3-540-72079-9_21

Open Corpus Adaptive Educational Hypermedia
Peter Brusilovsky and Nicola Henze
http://dx.doi.org/10.1007/978-3-540-72079-9_22

Semantic Web Technologies for the Adaptive Web
Peter Dolog and Wolfgang Nejdl
http://dx.doi.org/10.1007/978-3-540-72079-9_23

Usability Engineering for the Adaptive Web
Cristina Gena and Stephan Weibelzahl
http://dx.doi.org/10.1007/978-3-540-72079-9_24

--
Sean M. McNee, Ph.D.
Nil Desperandum.

For those on this list who did not attend ACM KDD 2007, this year's KDD
Cup was sponsored by Netflix as part of their Netflix Prize competition.
   Several papers were presented from teams who are currently at the top
of the leaderboard for the Prize.  For anyone who follows collaborative
filtering, these papers are worth reviewing.

The KDD Cup 2007 Workshop page is located at
http://www.cs.uic.edu/~liub/Netflix-KDD-Cup-2007.html

--
Sean M. McNee, Ph.D.
Nil Desperandum.

[cross-posted from the User Modeling mailing list]

3 PHD POSITIONS on: Recommender Systems, Core Database Technologies, and
                     Medical Data Warehousing and Data Mining
------------------------------------------------------------------------

The Database and Information Systems Centre (DIS) at Free University
of Bozen-Bolzano is looking for PhD students for projects in the area
of Recommender Systems and Database/Data Warehouse Systems. The
fellowships are starting from January 2008.

1 PHD STUDENT IN THE FIELD OF RECOMMENDER SYSTEMS: Recommender systems
are intelligent applications aimed at assisting users in a
decision-making process when users don't have sufficient personal
experience to choose one item amongst a potentially overwhelming set
of alternative products or services. DIS is active in a number of
research projects in this area and in particular on: learning
conversational policies for recommender systems, case-based
recommender systems, item and user selection in recommender systems,
mediation of user models, mobile and context-aware recommender systems.

1 PHD STUDENT IN THE FIELD OF CORE DATABASE DATABASE TECHNOLOIGIES:
The needs of mission critical applications dealing with large amounts
of real-world data, such as intelligent transportation systems or
eHealth and eGovernment systems, are driving the continuous
development of database technology. In the Core Database Technology
project we investigate fundamental research issues for the next
generation of large high performance database and decision support
systems. Among others we develop new solutions to approximately match
XML data and to aggregate and visualize multi- dimensional data.

1 PHD STUDENT IN MEDICAL DATA WAREHOUSING AND DATA MINING: This
position is in the context of a four-years project, called MEDAN
(MEdical Data warehousing and Analysis), which aims to conduct basic
and applied research in the area of data warehousing and intelligent
data analysis for health care and medical applications. Specific
research topics include temporal medical data analysis (e.g.,
different forms of temporal aggregation or temporal pattern
recognition) and visual health care analytics (e.g., visual analysis
methods based on scatter plots and density surfaces).

Interested candidates please send informal enquiries, your CV
(including publication list) and links to selected papers to:
- Francesco Ricci (fricci@...) for Recommender Systems
- Michael Böhlen (boehlen@...) for Core Database Technologies
- Johann Gamper (gamper@...) for Medical Data Warehousing
   and Data Mining

The deadline for the formal application is September 28, 2007.

For more information,

DIS at FUB: http://www.inf.unibz.it/dis/
Recommender Systems: http://www.inf.unibz.it/~ricci/
PhD admission: http://www.unibz.it/inf/phdcs/

The spam-to-value ratio in this email group is so high that I must
leave it.  I tried contacting the owner of the email group, Philip
Bonhard, and asked him to reconfigure it for greater spam-catching,
but received no response.

I suspect now this is an orphan group, with the moderator possibly
having lost access.

Of course, I am still interested in recommender systems.  And so, if
another, well-moderated or spam-protected mailing list is created, I
would welcome an invitation.

My high regards to you, dear reader, I remain,
Dan Greening
greening (at) bigtribe (dot) com

Looking for a collaborator interested in helping develop an
e-commerce/recommender site I am currently prototyping here in New
York, Silicon Alley area.

I think the opportunity could be there for terrific experience,
possibly a nice payoff, and might even double as a good study project
for someone.

We aim to make the recommender more complex and interesting than the
ordinary Web 2.0 offering.

The collaboration could take the form of writing a design or low-level
spec, or more complete architecture doc, or designing and coding the
piece as a whole.    We are not exactly rolling in funds, but we could
pay something and/or offer some type of equity compensation arrangement.

Please email if interested.

--- In RecommenderSystems@yahoogroups.com, mohammad darzi
<modarzi@...> wrote:
>
> Dear My Friends
>   Hello,
>   I hope that you are all well.I am student and studying on
Recommender systems and Collaborative filtering algorithm.Now,I need
your help.How can I get free and open source Recommender system engine.
>   I am really thankful if you guid me.
>   Sincerely Yours
>   Mohammad Darzi
>
>
> ---------------------------------
> Need Mail bonding?
> Go to the Yahoo! Mail Q&A for great tips from Yahoo! Answers users.
>
I am aware of these open-source engines.  I'm sure there are many more:

COllaborative Filtering Engine
        http://eecs.oregonstate.edu/iis/CoFE/

Taste
       http://taste.sourceforge.net/

Recommender.org
       http://sourceforge.net/projects/recommender-org/


Scout Portal Toolkit
        http://scout.wisc.edu/Projects/SPT/

alkindi   (non-active but in pub domain)
        http://mappa.mundi.net/signals/memes/alkindi.shtml

Windows Vista Rocks, download all the latest Software
http://www.office2007store.info/ttke

Very good idea, indeed!

Aliaksandr

Wednesday, March 28, 2007, 9:57:55 PM, you wrote:


TB> Can we change this group to be  moderated to reduce spam? If
TB> no one else wants to volunteer, I can moderate  it.
TB>

Great, who is the current owner of the group? They will need to turn on
moderation or grant another member with such powers.

> -----Original Message-----
> From: RecommenderSystems@yahoogroups.com
> [mailto:RecommenderSystems@yahoogroups.com] On Behalf Of
> Aliaksandr Birukou
> Sent: Wednesday, March 28, 2007 3:29 PM
> To: Todd Beaupre
> Subject: Re[2]: [RecommenderSystems] get windows vista
>
> Very good idea, indeed!
>
> Aliaksandr
>
> Wednesday, March 28, 2007, 9:57:55 PM, you wrote:
>
>
> TB> Can we change this group to be  moderated to reduce spam?
> If no one
> TB> else wants to volunteer, I can moderate  it.
> TB>
>
>
>
>
>
>
>
> Yahoo! Groups Links
>
>
>
>

Great, who is the current owner of the group? They will need to turn on
moderation or grant another member with such powers.

> -----Original Message-----
> From: RecommenderSystems@yahoogroups.com
> [mailto:RecommenderSystems@yahoogroups.com] On Behalf Of
> Aliaksandr Birukou
> Sent: Wednesday, March 28, 2007 3:29 PM
> To: Todd Beaupre
> Subject: Re[2]: [RecommenderSystems] get windows vista
>
> Very good idea, indeed!
>
> Aliaksandr
>
> Wednesday, March 28, 2007, 9:57:55 PM, you wrote:
>
>
> TB> Can we change this group to be  moderated to reduce spam?
> If no one
> TB> else wants to volunteer, I can moderate  it.
> TB>
>
>
>
>
>
>
>
> Yahoo! Groups Links
>
>
>
>

Very good idea, indeed!

Aliaksandr

Wednesday, March 28, 2007, 9:57:55 PM, you wrote:


TB> Can we change this group to be  moderated to reduce spam? If
TB> no one else wants to volunteer, I can moderate  it.
TB>

Very good idea, indeed!

Aliaksandr

Wednesday, March 28, 2007, 9:57:55 PM, you wrote:


TB> Can we change this group to be  moderated to reduce spam? If
TB> no one else wants to volunteer, I can moderate  it.
TB>

Great, who is the current owner of the group? They will need to turn on
moderation or grant another member with such powers.

> -----Original Message-----
> From: RecommenderSystems@yahoogroups.com
> [mailto:RecommenderSystems@yahoogroups.com] On Behalf Of
> Aliaksandr Birukou
> Sent: Wednesday, March 28, 2007 3:29 PM
> To: Todd Beaupre
> Subject: Re[2]: [RecommenderSystems] get windows vista
>
> Very good idea, indeed!
>
> Aliaksandr
>
> Wednesday, March 28, 2007, 9:57:55 PM, you wrote:
>
>
> TB> Can we change this group to be  moderated to reduce spam?
> If no one
> TB> else wants to volunteer, I can moderate  it.
> TB>
>
>
>
>
>
>
>
> Yahoo! Groups Links
>
>
>
>

Great, who is the current owner of the group? They will need to turn on
moderation or grant another member with such powers.

> -----Original Message-----
> From: RecommenderSystems@yahoogroups.com
> [mailto:RecommenderSystems@yahoogroups.com] On Behalf Of
> Aliaksandr Birukou
> Sent: Wednesday, March 28, 2007 3:29 PM
> To: Todd Beaupre
> Subject: Re[2]: [RecommenderSystems] get windows vista
>
> Very good idea, indeed!
>
> Aliaksandr
>
> Wednesday, March 28, 2007, 9:57:55 PM, you wrote:
>
>
> TB> Can we change this group to be  moderated to reduce spam?
> If no one
> TB> else wants to volunteer, I can moderate  it.
> TB>
>
>
>
>
>
>
>
> Yahoo! Groups Links
>
>
>
>

Great, who is the current owner of the group? They will need to turn on
moderation or grant another member with such powers.

> -----Original Message-----
> From: RecommenderSystems@yahoogroups.com
> [mailto:RecommenderSystems@yahoogroups.com] On Behalf Of
> Aliaksandr Birukou
> Sent: Wednesday, March 28, 2007 3:29 PM
> To: Todd Beaupre
> Subject: Re[2]: [RecommenderSystems] get windows vista
>
> Very good idea, indeed!
>
> Aliaksandr
>
> Wednesday, March 28, 2007, 9:57:55 PM, you wrote:
>
>
> TB> Can we change this group to be  moderated to reduce spam?
> If no one
> TB> else wants to volunteer, I can moderate  it.
> TB>
>
>
>
>
>
>
>
> Yahoo! Groups Links
>
>
>
>

Great, who is the current owner of the group? They will need to turn on
moderation or grant another member with such powers.

> -----Original Message-----
> From: RecommenderSystems@yahoogroups.com
> [mailto:RecommenderSystems@yahoogroups.com] On Behalf Of
> Aliaksandr Birukou
> Sent: Wednesday, March 28, 2007 3:29 PM
> To: Todd Beaupre
> Subject: Re[2]: [RecommenderSystems] get windows vista
>
> Very good idea, indeed!
>
> Aliaksandr
>
> Wednesday, March 28, 2007, 9:57:55 PM, you wrote:
>
>
> TB> Can we change this group to be  moderated to reduce spam?
> If no one
> TB> else wants to volunteer, I can moderate  it.
> TB>
>
>
>
>
>
>
>
> Yahoo! Groups Links
>
>
>
>

Very good idea, indeed!

Aliaksandr

Wednesday, March 28, 2007, 9:57:55 PM, you wrote:


TB> Can we change this group to be  moderated to reduce spam? If
TB> no one else wants to volunteer, I can moderate  it.
TB>

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