NDLI: Proceedings of the 2008 ACM conference on Recommender systems (RecSys '08)

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Boosting collaborative filtering based on statistical prediction errors

Tag recommendations based on tensor dimensionality reduction

A cross-cultural user evaluation of product recommender interfaces

Incremental probabilistic latent semantic analysis for automatic question recommendation

Avoiding monotony: improving the diversity of recommendation lists

Integrating tags in a semantic content-based recommender

Can people collaborate to improve the relevance of search results?

Exploiting contextual information in recommender systems

Robust recommender systems

Computational advertising and recommender systems

The long tail of recommender systems and how to leverage it

Social ranking: uncovering relevant content using tag-based recommender systems

Personalized online document, image and video recommendation via commodity eye-tracking

Pfp: parallel fp-growth for query recommendation

A random walk method for alleviating the sparsity problem in collaborative filtering

CARD: a decision-guidance framework and application for recommending composite alternatives

Recommending scientific articles using citeulike

An independent platform for the monitoring, analysis and adaptation of web sites

Tutorial on recent progress in collaborative filtering

Tied boltzmann machines for cold start recommendations

Recommending topics for self-descriptions in online user profiles

Evaluation of an ontology-content based filtering method for a personalized newspaper

Critique graphs for catalogue navigation

A collaborative constraint-based meta-level recommender

A new approach to evaluating novel recommendations

The value of personalised recommender systems to e-business: a case study

Navigation support for learners in informal learning environments

Context-aware recommender systems

MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks

Personalized, interactive tag recommendation for flickr

The information cost of manipulation-resistance in recommender systems

Crafting the initial user experience to achieve community goals

Improving top-n recommendation techniques using rating variance

Mining recommendations from the web

Unsupervised retrieval of attack profiles in collaborative recommender systems

Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map

PITTCULT: trust-based cultural event recommender

Flexible recommendations over rich data

A network performance recommendation process for advanced internet applications users

Who predicts better?: results from an online study comparing humans and an online recommender system

A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle

UTA-Rec: a recommender system based on multiple criteria analysis

Implications of psychological phenomenons for recommender systems

kNN CF: a temporal social network

Leveraging aggregate ratings for improving predictive performance of recommender systems

Three recommender approaches to interface controls reduction

Prototyping recommender systems in jcolibri

Online-updating regularized kernel matrix factorization models for large-scale recommender systems

Personalized recommendation in social tagging systems using hierarchical clustering

Matrix factorization and neighbor based algorithms for the netflix prize problem

Adaptive collaborative filtering

Proceedings of the 2008 ACM conference on Recommender systems (RecSys '08)

Content Provider	ACM Digital Library
Editor	Bridge, Derek Mobasher, Bamshad Ricci, Francesco Pu, Pearl
Copyright Year	2008
Abstract	Recommender systems have emerged as an important part of the solution to the information overload problem facing today's Web users. Combining ideas and techniques from information filtering, user modeling, artificial intelligence, user interface design and human-computer interaction, recommender systems provide users with proactive suggestions that are tailored to meet their particular information needs and preferences. Indeed recommender systems have enjoyed considerable commercial success and continue to play an increasingly important role in many online services, from Amazon and Yahoo! to iTunes and Last.fm. It is our great pleasure to welcome you to the Second ACM International Conference on Recommender Systems (RecSys), which builds on a wonderful legacy of research workshops, the Recommenders Summer School held in Bilbao in 2006, and the First ACM International Conference on Recommender Systems held in Minneapolis in 2007. This conference brings together leaders in the field, from both research and practice, to explore the latest innovations, challenges, and opportunities for recommender systems technologies. The call for papers attracted 121 submissions, a more than 100% increase compared to 2007, with authors from nearly 30 different countries. After a detailed scientific review process the program committee selected 38 papers for publication in the proceedings and presentation at the conference, a 31% acceptance rate. Of these 38 papers, 20 full-length papers were accepted for oral presentation and 18 papers for poster presentation, of which 15 were full-length papers and 3 were short-papers. In addition, the conference program includes a keynote presentation by Yahoo!'s Andrei Broder; two panel sessions filled with industry leaders sharing experiences and raising challenges for the research community; and presentations of six early-stage recommender start-ups, each bidding to win a \$100,000 prize from Strands, Inc. The conference also includes three tutorials, in which leaders of the field explore hot topics in more detail; and a doctoral symposium to provide 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.
ISBN	9781605580937
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-10-23
Access Restriction	Subscribed
Content Type	Text
Resource Type	Conference Proceedings

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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