NDLI: Improving the discriminative power of inferred content information using segmented virtual profile

Please wait, while we are loading the content...

LinkedIn skills: large-scale topic extraction and inference

Factored MDPs for detecting topics of user sessions

Attacking item-based recommender systems with power items

Ensemble contextual bandits for personalized recommendation

Beyond clicks: dwell time for personalization

Improving sales diversity by recommending users to items

Unifying nearest neighbors collaborative filtering

Coverage, redundancy and size-awareness in genre diversity for recommender systems

GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning.

'Free lunch' enhancement for collaborative filtering with factorization machines

Aspect-based opinion mining and recommendationsystem for restaurant reviews

Workshop on new trends in content-based recommender systems: (CBRecSys 2014)

The recommender problem revisited

Hybridisation techniques for cold-starting context-aware recommender systems

Automating readers' advisory to make book recommendations for K-12 readers

Context adaptation in interactive recommender systems

Recommending with an agenda: active learning of private attributes using matrix factorization

Cold-start news recommendation with domain-dependent browse graph

Evaluating recommender behavior for new users

On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems

Recommending user generated item lists

Towards a dynamic top-N recommendation framework

A framework for matrix factorization based on general distributions

An analysis of users' propensity toward diversity in recommendations

Configuring and monitoring recommender system as a service

Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems

Personalized location recommendation on location-based social networks

Moving beyond linearity and independence in top-N recommender systems

Exploiting sentiment homophily for link prediction

Question recommendation with constraints for massive open online courses

Item cold-start recommendations: learning local collective embeddings

Comparative recommender system evaluation: benchmarking recommendation frameworks

User perception of differences in recommender algorithms

Question recommendation for collaborative question answering systems with RankSLDA

Explore-exploit in top-N recommender systems via Gaussian processes

Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces

Clinical online recommendation with subgroup rank feedback

Content ordering based on commuting patterns

RecSys'14 joint workshop on interfaces and human decision making for recommender systems

Tutorial on cross-domain recommender systems

Enhancing personalization and learner engagement through context-aware recommendation in TEL

A robust model for paper reviewer assignment

Improving the discriminative power of inferred content information using segmented virtual profile

A methodology for learning, analyzing, and mitigating social influence bias in recommender systems

Offline and online evaluation of news recommender systems at swissinfo.ch

Bayesian binomial mixture model for collaborative prediction with non-random missing data

A parameter-free algorithm for an optimized tag recommendation list size

Gradient boosting factorization machines

Convex AUC optimization for top-N recommendation with implicit feedback

Cosibon: an E-commerce like platform enabling bricks-and-mortar stores to use sophisticated product recommender systems

Second workshop on large-scale recommender systems: research and best practice (LSRS 2014)

Social recommender system tutorial

Improving recommender systems: user roles and lifecycles

Ratings meet reviews, a combined approach to recommend

Exploiting temporal influence in online recommendation

Cross-domain recommendations without overlapping data: myth or reality?

Focal: a personalized mobile news reader

Recommender systems challenge 2014

Modeling the effect of people's preferences and social forces on adopting and sharing items

CSLIM: contextual SLIM recommendation algorithms

Rival: a toolkit to foster reproducibility in recommender system evaluation

Controlled experimentation in recommendations, ranking & response prediction

Choicla: towards domain-independent decision support for groups of users

Dynamics of human trust in recommender systems

System U: automatically deriving personality traits from social media for people recommendation

First workshop on recommendation systems for television and online video: (RecSysTV 2014)

Weighted hybrid recommendation for heterogeneous networks

Eliciting the users' unknown preferences

Tell me where to go and what to do next, but do not bother me

REDD 2014 -- international workshop on recommender systems evaluation: dimensions and design

Browser-oriented universal cross-site recommendation and explanation based on user browsing logs

Emphasize, don't filter!: displaying recommendations in Twitter timelines

WrapRec: an easy extension of recommender system libraries

The sixth ACM RecSys workshop on recommender systems and the social web

Deviation-based and similarity-based contextual SLIM recommendation algorithms

Implicit vs. explicit trust in social matrix factorization

Modeling the dynamics of user preferences in coupled tensor factorization

Multi-criteria journey aware housing recommender system

PERSPeCT: collaborative filtering for tailored health communications

Preference elicitation for narrowing the recommended list for groups

Recommendation-based modeling support for data mining processes

Scalable audience targeted models for brand advertising on social networks

Social collaborative filtering for cold-start recommendations

Switching hybrid for cold-starting context-aware recommender systems

Using graded implicit feedback for bayesian personalized ranking

Inferring user interests in the Twitter social network

Improving the discriminative power of inferred content information using segmented virtual profile

Content Provider	ACM Digital Library
Author	Goyal, Anuj Walker, Trevor Bhasin, Anmol Liu, Haishan
Abstract	We present a novel component of a hybrid recommender system at LinkedIn, where item features are augmented by a virtual profile based on observed user-item interactions. A virtual profile is generated by representing an item in the user feature space and leveraging the overrepresented user features from users who interacted with the item. It is a way to think about Collaborative Filtering with content features. The core principle is that if the feature occurs with high probability for the users who interacted with an item (henceforth termed as relevant users) versus those who did not (henceforth termed as non-relevant users), then that feature is a good candidate to be included in the virtual profile of the item in question. However, this scheme suffers from the data imbalance problem because observed relevant users are usually an extremely small minority group compared to the whole user base. Feature selection in this skewed setting is prone to noise from the overwhelming non-relevant examples that belong to the majority group. To alleviate the problem, we propose a method to select the most relevant non-relevant examples from the majority group by segmenting users on certain intelligently selected feature dimensions. The resulting virtual profile from the method is called the segmented virtual profile. Empirical evaluation on a real-world large scale recommender system at LinkedIn shows that our strategies for segmentation yield significantly better results.
Starting Page	97
Ending Page	104
Page Count	8
File Format	PDF MP4
ISBN	9781450326681
DOI	10.1145/2645710.2645738
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-10-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Feature selection Collaborative filtering Content filtering Recommender systems
Content Type	Audio Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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