Exploiting query reformulations for web search result diversification
By Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis. The Web Conference, 2010
520 citations recorded by the source corpus.
Subfields: Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/ded1fa5432e066c3a9f998bd52c6ed736068c582
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Bamshad Mobasher
- Masataka Goto
- Kosetsu Tsukuda
- Robin D. Burke
- Himan Abdollahpouri
- Craig Macdonald
- Iadh Ounis
- Rodrygo L. T. Santos
In Signal Processing
- Masataka Goto
- Kosetsu Tsukuda
- Bamshad Mobasher
- Craig Macdonald
- Iadh Ounis
- Robin D. Burke
- Edith Law
- Harald Steck
Citations in the corpus
- Diversity in Big Data: A Review (2017, unknown): “Novelty-based diversity measures define diversity with respect to the elements seen in the past (Refs.”
- DualDiv: diversifying items and explanation styles in explainable hybrid recommendation (2019, methodology): “In this paper, we generate the artist-diversified recommendation list based on the diversification method proposed by Dou et al. [5], which is a general form of the xQuAD framework [10].”
- Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation (2011, background): “Finally, our work is related to research on diversifying search results (Santos, Macdonald, and Ounis 2010; Clarke et al. 2008; Agrawal et al. 2009; Gollapudi and Sharma 2009; Chen and Karger 2006) as a way to better answer faceted queries (e.g., " wedding planning " ), which are queries that…”
- Managing Popularity Bias in Recommender Systems with Personalized Re-ranking (2019, background): “Our work is inspired by [18] where authors introduced a novel probabilistic framework called xQuAD for Web search result diversification which aims to generate search results that explicitly account for various aspects associated with an under-specified query.”
- From Puppy to Maturity: Experiences in Developing Terrier (2012, background): “In particular, effective diversification can be attained by ensuring that the produced ranking covers multiple aspects of an ambiguous query, represented as query reformulations [18, 19].”
- Calibrated recommendations (2018, background): “This idea has resulted in the ranking metric called expected reciprocal rank (ERR) [7], as well as in approaches for generating a more diverse ranked list [20, 27].”