Publications related to Neighborhood-based Tag Prediction

Related publications (16)

The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems

Educational recommender systems channel most of the research efforts on the effectiveness of the recommended items. While teachers have a central role in online platforms, the impact of recommender systems for teachers in terms of the exposure such systems ...

ASSOC COMPUTING MACHINERY2021

Dynamic pattern recognition in large-scale graphs with applications to social networks

Volodymyr Miz

A graph is a versatile data structure facilitating representation of interactions among objects in various complex systems. Very often these objects have attributes whose measurements change over time, reflecting the dynamics of the system. This general da ...

EPFL2020

Tag-based Paper Retrieval: Minimizing User Effort with Diversity Awareness

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Son Thanh Do

As the number of scientific papers getting published is likely to soar, most of modern paper management systems (e.g. ScienceWise, Mendeley, CiteULike) support tag-based retrieval. In that, each paper is associated with a set of \emph{tags}, allowing user ...

2015

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Rachid Guerraoui, Anne-Marie Kermarrec

The rapidly increasing amount of user-generated content in social tagging systems provides a huge source of information. Yet, performing effective search in these systems is very challenging, especially when we seek the most appropriate items that match a ...

Assoc Computing Machinery2014

Comparing the Predictive Capability of Social and Interest Affinity for Recommendations

Karl Aberer, Anne-Marie Kermarrec, Alexandra Olteanu

The advent of online social networks created new prediction opportunities for recommender systems: instead of relying on past rating history through the use of collaborative filtering (CF), they can leverage the social relations among users as a predictor ...

Springer-Verlag Berlin2014

Scalable Collaborative Bayesian Preference Learning

Matthias Seeger, Mohammad Emtiyaz Khan, Young Jun Ko

Learning about users’ utilities from preference, discrete choice or implicit feedback data is of integral importance in e-commerce, targeted advertising and web search. Due to the sparsity and diffuse nature of data, Bayesian approaches hold much promise, ...

2014

Spam Fighting in Social Tagging Systems

Touradj Ebrahimi, Sasan Yazdani, Ivan Ivanov

Tagging in online social networks is very popular these days, as it facilitates search and retrieval of diverse resources available online. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes ...

Springer-Verlag2012

In Tags We Trust: Trust modeling in social tagging of multimedia content

Touradj Ebrahimi, Jong Seok Lee, Péter Vajda, Ivan Ivanov

Tagging in online social networks is very popular these days, as it facilitates search and retrieval of multimedia content. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes in tagging and i ...

2012

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Roman Prokofyev, Karl Aberer, Alexey Boyarsky, Oleg Ruchayskiy, Philippe Cudré-Mauroux

We tackle the problem of improving the relevance of automatically selected tags in large-scale ontology-based information systems. Contrary to traditional settings where tags can be chosen arbitrarily, we focus on the problem of recommending tags (e.g., co ...

Springer2012

Collaborative Personalized Top-k Processing

Rachid Guerraoui, Anne-Marie Kermarrec

This article presents P4Q, a fully decentralized gossip-based protocol to personalize query processing in social tagging systems. P4Q dynamically associates each user with social acquaintances sharing similar tagging behaviors. Queries are gossiped among s ...

Association for Computing Machinery2011

Leveraging User-Generated Content for Information Discovery on the Web

Adriana Budura

The large-scale adoption of the Web 2.0 paradigm has revolutionized the way we interact with the Web today. End-users, so far mainly passive consumers of information are now becoming active information producers, creating, uploading, and commenting on all ...

EPFL2010

Object-based Tag Propagation for Semi-automatic Annotation of Images

Touradj Ebrahimi, Jong Seok Lee, Lutz Goldmann, Péter Vajda, Ivan Ivanov

Over the last few years, social network systems have greatly increased users’ involvement in online content creation and annotation. Since such systems usually need to deal with a large amount of multimedia data, it becomes desirable to realize an interact ...

2010

From Web 1.0 to Web 2.0 and back - How did your Grandma use to tag?

Karl Aberer, Sebastian Michel, Gleb Skobeltsyn, Adriana Budura

We consider the applicability of terms extracted from anchortext as a source of Web page descriptions in the form of tags. With a relatively simple and easy-to-use method, we show that anchortext significantly overlaps with tags obtained from the popular t ...

2008

To Tag or Not to Tag ? Harvesting Adjacent Metadata in Large-Scale Tagging Systems

Karl Aberer, Philippe Cudré-Mauroux, Sebastian Michel, Adriana Budura

We present HAMLET, a suite of principles, scoring models and algorithms to automatically propagate metadata along edges in a document neighborhood. As a showcase scenario we consider tag prediction in community-based Web 2.0 tagging applications. Experimen ...

ACM2008

Personalized, Interactive Tag Recommendation for Flickr

We study the problem of personalized, interactive tag recommendation for Flickr: While a user enters/selects new tags for a particular picture, the system suggests related tags to her, based on the tags that she or other people have used in the past along ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2008

Personalized information access in a wiki using structured tagging

Karl Aberer

Environmental engineers from different organizations work in interdisciplinary projects having the need of information exchange. In particular, a collaborative environment with personalized access to information is needed, which supports strongly varying i ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2007