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39
Rank and Relevance in Novelty and Diversity Metrics for Recommender Systems
"... The Recommender Systems community is paying increasing attention to novelty and diversity as key qualities beyond accuracy in real recommendation scenarios. Despite the raise of interest and work on the topic in recent years, we find that a clear common methodological and conceptual ground for the e ..."
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Cited by 37 (3 self)
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The Recommender Systems community is paying increasing attention to novelty and diversity as key qualities beyond accuracy in real recommendation scenarios. Despite the raise of interest and work on the topic in recent years, we find that a clear common methodological and conceptual ground
Novelty and diversity in top-n recommendation – analysis and evaluation
- ACM Trans. Internet Technol
, 2011
"... For recommender systems that base their product rankings primarily on a measure of similarity between items and the user query, it can often happen that products on the recommendation list are highly similar to each other and lack diversity. In this article we argue that the motivation of diversity ..."
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Cited by 11 (0 self)
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For recommender systems that base their product rankings primarily on a measure of similarity between items and the user query, it can often happen that products on the recommendation list are highly similar to each other and lack diversity. In this article we argue that the motivation of diversity
Novelty and Diversity Metrics for Recommender Systems: Choice, Discovery and Relevance
- In Proceedings of International Workshop on Diversity in Document Retrieval (DDR
"... Research goals Define new novelty & diversity metrics for recommender systems – Properties not currently supported in the RS literature, such as rank and relevance sensitivity, user-specific vs. generic – Define a framework that unifies these metrics and generalizes SoA metrics, facilitating alt ..."
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Cited by 19 (6 self)
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Research goals Define new novelty & diversity metrics for recommender systems – Properties not currently supported in the RS literature, such as rank and relevance sensitivity, user-specific vs. generic – Define a framework that unifies these metrics and generalizes SoA metrics, facilitating
Diversity and Novelty on the Web: Search, Recommendation, and Data Streaming Aspects
"... ABSTRACT This tutorial aims to provide a unifying account of current research on diversity and novelty in different web information systems. In particular, the tutorial will cover the motivations, as well as the most established approaches for producing and evaluating diverse results in search engi ..."
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ABSTRACT This tutorial aims to provide a unifying account of current research on diversity and novelty in different web information systems. In particular, the tutorial will cover the motivations, as well as the most established approaches for producing and evaluating diverse results in search
A knowledge reuse framework for improving novelty and diversity in recommendations
"... ABSTRACT Recommender system (RS) is an important instrument in e-commerce, which provides personalized recommendations to individual user. Classical algorithms in recommender system mainly emphasize on recommendation accuracy in order to match individual user's past profile. However, recent st ..."
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study shows that novelty and diversity in recommendations are equally important factors from both user and business view points. In this paper, we introduce a knowledge reuse framework to increase novelty and diversity in the recommended items of individual users while compromising very little
Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty
- In Proc. ACM SIGIR
, 2015
"... A shortcoming of current approaches for music recommen-dation is that they consider user-specific characteristics only on a very simple level, typically as some kind of interaction between users and items when employing collaborative filter-ing. To alleviate this issue, we propose several user featu ..."
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Cited by 1 (1 self)
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-most 200 million listening events gathered from Last.fm. We report first results and highlight cases where our diversity, mainstreaminess, and novelty features can be beneficially integrated into music recommender systems. Categories and Subject Descriptors Information systems [Information retrieval
An evaluation of novelty and diversity based on fuzzy logic
"... Information retrieval systems are based on an estimation or prediction of the relevance of documents for certain topics associated to a query or, in the case of recommendation systems, for a certain user profile. Most systems use a graded relevance estimation (a.k.a. relevance status value), that is ..."
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Information retrieval systems are based on an estimation or prediction of the relevance of documents for certain topics associated to a query or, in the case of recommendation systems, for a certain user profile. Most systems use a graded relevance estimation (a.k.a. relevance status value
Improving Novelty in Streaming Recommendation Using a Context Model ∗
"... In recent years there has been an increasing research interest in novelty/diversity detection in Information Retrieval and in Recommendation Systems. We propose a model that increases the novelty of recommendations using a context user profile that was created automatically using self-organizing map ..."
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In recent years there has been an increasing research interest in novelty/diversity detection in Information Retrieval and in Recommendation Systems. We propose a model that increases the novelty of recommendations using a context user profile that was created automatically using self
Improving Sales Diversity by Recommending Users to Items
"... Sales diversity is considered a key feature of Recommender Systems from a business perspective. Sales diversity is also linked with the long-tail novelty of recommendations, a qual-ity dimension from the user perspective. We explore the inversion of the recommendation task as a means to en-hance sal ..."
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Cited by 1 (0 self)
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Sales diversity is considered a key feature of Recommender Systems from a business perspective. Sales diversity is also linked with the long-tail novelty of recommendations, a qual-ity dimension from the user perspective. We explore the inversion of the recommendation task as a means to en
Diversity Measurement of Recommender Systems under Different User Choice Models
"... Recommender systems are increasingly used for personalised navigation through large amounts of information, especially in the e-commerce domain for product purchase advice. Whilst much research effort is spent on developing recommenders further, there is little to no effort spent on analysing the im ..."
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Cited by 1 (0 self)
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the impact of them – neither on the supply (company) nor demand (consumer) side. In this paper, we investigate the diversity impact of a movie recommender. We define diversity for different parts of the domain and measure it in different ways. The novelty of our work is the usage of real rating data (from
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