Daniel Valcarce

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recommender systems collaborative filtering information retrieval language models relevance-based language models recsys 2015 ecir2016 doctoral symposium evaluation robustness discriminative power pseudo-relevance feedback query expansion neighbourhoods rocchio's model recsys2015 prior probability smoothing methods solr cassandra varnish phd thesis matrix factorization linear methods borda count metasearch condorcet copeland rank aggregation idf effect additive smoothing relevance models axiomatic analysis hadoop distributed systems mapreduce big data memcached mysql cluster

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Daniel Valcarce

Presentaciones

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation [ECIR '16 Slides]

Language Models for Collaborative Filtering Neighbourhoods [ECIR '16 Slides]

Exploring Statistical Language Models for Recommender Systems [RecSys '15 DS Slides]

When Recommenders Met Big Data: an Architectural Proposal and Evaluation [CERI '14 Slides]

Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario [IIR '16 Slides]

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems [CERI '16 Slides]

LiMe: Linear Methods for Pseudo-Relevance Feedback [SAC '18 Slides]

On the Robustness and Discriminative Power of IR Metrics for Top-N Recommendation [RecSys '18 Slides]

Information Retrieval Models for Recommender Systems - PhD slides

Documentos

Exploring Statistical Language Models for Recommender Systems [RecSys '15 DS Poster]

A Study of Priors for Relevance-Based Language Modelling of Recommender Systems [RecSys '15 SP Poster]

A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems [ECIR '15 SP Poster]

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