Cluster-based information retrieval using pattern mining

Y Djenouri, A Belhadi, D Djenouri, JCW Lin - Applied Intelligence, 2021 - Springer
This paper addresses the problem of responding to user queries by fetching the most
relevant object from a clustered set of objects. It addresses the common drawbacks of cluster …

Query reformulation in E-commerce search

S Hirsch, I Guy, A Nus, A Dagan… - Proceedings of the 43rd …, 2020 - dl.acm.org
The importance of e-commerce platforms has driven forward a growing body of research
work on e-commerce search. We present the first large-scale and in-depth study of query …

How data scientists review the scholarly literature

S Mysore, M Jasim, H Song, S Akbar… - Proceedings of the …, 2023 - dl.acm.org
Keeping up with the research literature plays an important role in the workflow of scientists–
allowing them to understand a field, formulate the problems they focus on, and develop the …

Users and Contemporary SERPs: A (Re-) Investigation

N Roy, D Maxwell, C Hauff - Proceedings of the 45th International ACM …, 2022 - dl.acm.org
TheSearch Engine Results Page (SERP) has evolved significantly over the last two
decades, moving away from the simple ten blue links paradigm to considerably more …

Aggregating e-commerce search results from heterogeneous sources via hierarchical reinforcement learning

R Takanobu, T Zhuang, M Huang, J Feng… - The World Wide Web …, 2019 - dl.acm.org
In this paper, we investigate the task of aggregating search results from heterogeneous
sources in an E-commerce environment. First, unlike traditional aggregated web search that …

Relevance-and interface-driven clustering for visual information retrieval

MR Bouadjenek, S Sanner, Y Du - Information Systems, 2020 - Elsevier
Search results of spatio-temporal data are often displayed on a map, but when the number
of matching search results is large, it can be time-consuming to individually examine all …

Implicit dimension identification in user-generated text with LSTM networks

V Makarenkov, I Guy, N Hazon, T Meisels… - Information Processing …, 2019 - Elsevier
In the process of online storytelling, individual users create and consume highly diverse
content that contains a great deal of implicit beliefs and not plainly expressed narrative. It is …

Relevance-driven clustering for visual information retrieval on twitter

MR Bouadjenek, S Sanner - Proceedings of the 2019 Conference on …, 2019 - dl.acm.org
Geo-temporal visualization of Twitter search results is a challenging task since the
simultaneous display of all matching tweets would result in a saturated and unreadable …

Users and Contemporary SERPs: A (Re-) Investigation Examining User Interactions and Experiences

N Roy, D Maxwell, C Hauff - arXiv preprint arXiv:2207.13117, 2022 - arxiv.org
The Search Engine Results Page (SERP) has evolved significantly over the last two
decades, moving away from the simple ten blue links paradigm to considerably more …

Augmenting scientific creativity with retrieval across knowledge domains

HB Kang, S Mysore, K Huang, HS Chang… - arXiv preprint arXiv …, 2022 - arxiv.org
Exposure to ideas in domains outside a scientist's own may benefit her in reformulating
existing research problems in novel ways and discovering new application domains for …