Results 1 - 10 of 32

The use of MMR, diversity-based reranking for reordering documents and producing summaries

by Jaime Carbonell, Jade Goldstein - In SIGIR , 1998
"... jadeQcs.cmu.edu Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR) criterion strives to reduce redundancy while maintaining query relevance in re-ranking retrieved docum ..."
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jadeQcs.cmu.edu Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR) criterion strives to reduce redundancy while maintaining query relevance in re-ranking retrieved

Novelty and Diversity in . . .

by Charles L. A. Clarke, Maheedhar Kolla, Gordon V. Cormack, Olga Vechtomova, Azin Ashkan, Stefan Büttcher, Ian Mackinnon , 2008
"... Evaluation measures act as objective functions to be optimized by information retrieval systems. Such objective functions must accurately reflect user requirements, particularly when tuning IR systems and learning ranking functions. Ambiguity in queries and redundancy in retrieved documents are poor ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
Evaluation measures act as objective functions to be optimized by information retrieval systems. Such objective functions must accurately reflect user requirements, particularly when tuning IR systems and learning ranking functions. Ambiguity in queries and redundancy in retrieved documents

An Analysis of NP-Completeness in Novelty and Diversity Ranking

by Ben Carterette - In Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory , 2009
"... Abstract. A useful ability for search engines is to be able to rank objects with novelty and diversity: the top k documents retrieved should cover possible interpretations of a query with some distribution, or should contain a diverse set of subtopics related to the user's information need, or ..."
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Abstract. A useful ability for search engines is to be able to rank objects with novelty and diversity: the top k documents retrieved should cover possible interpretations of a query with some distribution, or should contain a diverse set of subtopics related to the user's information need

Novelty and diversity in top-n recommendation – analysis and evaluation

by Neil Hurley, Mi Zhang - 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 ..."
Abstract - Cited by 11 (0 self) - Add to MetaCart
many applications of information retrieval, we formulate the trade-off between diversity and matching quality as a binary optimization prob-lem, with an input control parameter allowing explicit tuning of this trade-off. We study solution strategies to the optimization problem and demonstrate

An evaluation of novelty and diversity based on fuzzy logic

by Simone Santini, Escuela Politécnica Superior, Pablo Castells, Escuela Politécnica
"... 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

Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty

by Markus Schedl, David Hauger - 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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-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

Improving Novelty in Streaming Recommendation Using a Context Model ∗

by Doina Alexandra Dumitrescu, Simone Santini, Escuela Politécnica
"... 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

Diversifying Information Needs in Results of Question Retrieval

by Yaoyun Zhang, Xiaolong Wang, Xuan Wang, Ruifeng Xu, Jun Xu, Shixi Fan
"... Information need is an important factor in question retrieval. This paper proposes a method to diversify the results of question retrieval in term of types of information needs. CogQTaxo, a question hierarchy is leveraged to represent users ’ information needs cognitively from three linguistic level ..."
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Information need is an important factor in question retrieval. This paper proposes a method to diversify the results of question retrieval in term of types of information needs. CogQTaxo, a question hierarchy is leveraged to represent users ’ information needs cognitively from three linguistic

Information Retrieval and User-Centric Recommender System Evaluation

by Alan Said, Ro Bellogín, Arjen De Vries, Benjamin Kille
"... Abstract. Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the recommendation algorithm. Recently, however, discrepancies between commonly used metrics (e.g. precision, recall, root-mean-square error) and the experienced quality fr ..."
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, novelty, etc., as well as bringing further insights in the topic by analyzing and translating the problem of evaluation from an Information Retrieval perspective.

Rijsbergen, K.: What can Quantum Theory Bring to Information Retrieval

by Benjamin Piwowarski, Mounia Lalmas - In: CIKM (Oct 2010
"... The probabilistic formalism of quantum physics is said to provide a sound basis for building a principled information retrieval framework. Such a framework can be based on the notion of information need vector spaces where events, such as document relevance or observed user interactions, correspond ..."
Abstract - Cited by 14 (3 self) - Add to MetaCart
of information needs. Our evaluation shows that the framework can lead to acceptable performance in an ad-hoc retrieval task. Going beyond this, we discuss the potential of the framework for three active challenges in information retrieval, namely, interaction, novelty and diversity.
Results 1 - 10 of 32