Modal Logic
- P. Blackburn, M. de Rijke, Y. Venema
- Computer ScienceCambridge Tracts in Theoretical Computer Science
- 10 December 1997
Formal models for expert finding in enterprise corpora
- K. Balog, L. Azzopardi, M. de Rijke
- Computer ScienceAnnual International ACM SIGIR Conference on…
- 6 August 2006
This work presents two general strategies to expert searching given a document collection which are formalized using generative probabilistic models, and shows that the second strategy consistently outperforms the first.
Click Models for Web Search
- A. Chuklin, I. Markov, M. de Rijke
- Computer ScienceClick Models for Web Search
- 30 June 2015
This survey summarizes advances in modeling user click behavior on a web search engine result page and presents simple click models as well as more complex models aimed at improving search result ranking.
Using WordNet to Measure Semantic Orientations of Adjectives
- J. Kamps, maarten marx, R. J. Mokken, M. de Rijke
- Computer ScienceInternational Conference on Language Resources…
- 2004
A graph-theoretic model of WordNet’s most important relation—synonymy—is investigated and measures that determine the semantic orientation of adjectives for three factors of subjective meaning are proposed.
Adding semantics to microblog posts
- E. Meij, W. Weerkamp, M. de Rijke
- Computer ScienceWeb Search and Data Mining
- 8 February 2012
This work proposes a novel method based on machine learning with a set of innovative features and is able to achieve significant improvements over all other methods, especially in terms of precision.
Learning Latent Vector Spaces for Product Search
- Christophe Van Gysel, M. de Rijke, E. Kanoulas
- Computer ScienceInternational Conference on Information and…
- 25 August 2016
A novel latent vector space model that jointly learns the latent representations of words, e-commerce products and a mapping between the two without the need for explicit annotations and achieves its enhanced performance as it learns better product representations.
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules
- Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma, M. de Rijke
- Computer ScienceAnnual International ACM SIGIR Conference on…
- 18 July 2019
This work proposes a Collaborative Session-based Recommendation Machine (CSRM), a novel hybrid framework to apply collaborative neighborhood information to session-based recommendations that demonstrates the effectiveness of CSRM compared to state-of-the-art session- based recommender systems.
Overview of the TREC 2006 Blog Track
- I. Ounis, C. Macdonald, M. de Rijke, G. Mishne, I. Soboroff
- Computer ScienceText Retrieval Conference
- 2006
The Blog track began this year, with the aim to explore the information seeking behaviour in the blogosphere, and a new large-scale test collection, namely the TREC Blog06 collection, has been created.
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
- M. Zoghi, Shimon Whiteson, R. Munos, M. de Rijke
- Computer ScienceInternational Conference on Machine Learning
- 11 December 2013
A sharp finite-time regret bound of order O(K log T) is proved on a very general class of dueling bandit problems that matches a lower bound proven in (Yue et al., 2012).
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
- Tom Kenter, Alexey Borisov, M. de Rijke
- Computer ScienceAnnual Meeting of the Association for…
- 1 June 2016
The Siamese Continuous Bag of Words model is presented, a neural network for efficient estimation of high-quality sentence embeddings and the robustness of theSiamese CBOW model is shown by evaluating it on 20 datasets stemming from a wide variety of sources.
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