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Chapter
Novelty and Diversity in Recommender Systems
Novelty and diversity have been identified, along with accuracy, as prominent properties of useful recommendations. Considerable progress has been made in the field in terms of the definition of methods to enh...
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Article
Guest editorial: special issue on ECIR 2020
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Article
Offline evaluation options for recommender systems
We undertake a detailed examination of the steps that make up offline experiments for recommender system evaluation, including the manner in which the available ratings are filtered and split into training and...
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Article
Assessing ranking metrics in top-N recommendation
The evaluation of recommender systems is an area with unsolved questions at several levels. Choosing the appropriate evaluation metric is one of such important issues. Ranking accuracy is generally identified ...
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Chapter and Conference Paper
Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective
Contact recommendation is an important functionality in many social network scenarios including Twitter and Facebook, since they can help grow the social networks of users by suggesting, to a given user, peop...
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Chapter and Conference Paper
Beyond Accuracy in Link Prediction
Link prediction has mainly been addressed as an accuracy-targeting problem in social network analysis. We discuss different perspectives on the problem considering other dimensions and effects that the link pr...
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Chapter and Conference Paper
Information Retrieval Models for Contact Recommendation in Social Networks
The fast growth and development of online social networks has posed new challenges for information retrieval and, as a particular case, recommender systems. A particularly compelling problem in this context is...
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Article
Statistical biases in Information Retrieval metrics for recommender systems
There is an increasing consensus in the Recommender Systems community that the dominant error-based evaluation metrics are insufficient, and mostly inadequate, to properly assess the practical effectiveness of...
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Chapter
Novelty and Diversity in Recommender Systems
Novelty and diversity have been identified, along with accuracy, as foremost properties of useful recommendations. Considerable progress has been made in the field in terms of the definition of methods to enha...
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Article
Bridging memory-based collaborative filtering and text retrieval
When speaking of information retrieval, we often mean text retrieval. But there exist many other forms of information retrieval applications. A typical example is collaborative filtering that suggests interesting
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Chapter
Group Recommender Systems: New Perspectives in the Social Web
An increasingly important type of recommender systems comprises those that generate suggestions for groups rather than for individuals. In this chapter, we revise state of the art approaches on group formation...
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Chapter and Conference Paper
Text Retrieval Methods for Item Ranking in Collaborative Filtering
Collaborative Filtering (CF) aims at predicting unknown ratings of a user from other similar users. The uniqueness of the problem has made its formulation distinctive to other information retrieval problems. W...
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Chapter and Conference Paper
Predicting the Performance of Recommender Systems: An Information Theoretic Approach
Performance prediction is an appealing problem in Recommender Systems, as it enables an array of strategies for deciding when to deliver or hold back recommendations based on their foreseen accuracy. The probl...
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Chapter
Discerning Relevant Model Features in a Content-based Collaborative Recommender System
Recommender systems suggest users information items they may be interested in. User profiles or usage data are compared with some reference characteristics, which may belong to the items (content-based approac...
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Chapter and Conference Paper
A Performance Prediction Approach to Enhance Collaborative Filtering Performance
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work restates the problem in the ...
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Chapter and Conference Paper
Predicting Neighbor Goodness in Collaborative Filtering
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work restates the problem in the ...
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Article
Signal, image and video processing (SIVP) special issue on “multimedia semantics, adaptation and personalization” Editorial
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Chapter and Conference Paper
News@hand: A Semantic Web Approach to Recommending News
We present News@hand, a news recommender system which applies semantic-based technologies to describe and relate news contents and user preferences in order to produce enhanced recommendations. The exploitatio...
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Chapter
Semantic Web Technologies For The Financial Domain
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Chapter
A Multi-Purpose Ontology-Based Approach for Personalised Content Filtering and Retrieval
Personalised multimedia access aims at enhancing the retrieval process by complementing explicit user requests with implicit user preferences. We propose and discuss the benefits of the introduction of ontolog...
