A hierarchical recurrent encoder-decoder for generative context-aware query suggestion
Users may strive to formulate an adequate textual query for their information need. Search
engines assist the users by presenting query suggestions. To preserve the original search …
engines assist the users by presenting query suggestions. To preserve the original search …
Slice: Scalable linear extreme classifiers trained on 100 million labels for related searches
H Jain, V Balasubramanian, B Chunduri… - Proceedings of the twelfth …, 2019 - dl.acm.org
This paper reformulates the problem of recommending related queries on a search engine
as an extreme multi-label learning task. Extreme multi-label learning aims to annotate each …
as an extreme multi-label learning task. Extreme multi-label learning aims to annotate each …
Context-sensitive query auto-completion
Z Bar-Yossef, N Kraus - Proceedings of the 20th international conference …, 2011 - dl.acm.org
Query auto completion is known to provide poor predictions of the user's query when her
input prefix is very short (eg, one or two characters). In this paper we show that context, such …
input prefix is very short (eg, one or two characters). In this paper we show that context, such …
Explore-by-example: An automatic query steering framework for interactive data exploration
Interactive Data Exploration (IDE) is a key ingredient of a diverse set of discovery-oriented
applications, including ones from scientific computing and evidence-based medicine. In …
applications, including ones from scientific computing and evidence-based medicine. In …
Learning to attend, copy, and generate for session-based query suggestion
Users try to articulate their complex information needs during search sessions by
reformulating their queries. To make this process more effective, search engines provide …
reformulating their queries. To make this process more effective, search engines provide …
Automatic taxonomy construction from keywords
Taxonomies, especially the ones in specific domains, are becoming indispensable to a
growing number of applications. State-of-the-art approaches assume there exists a text …
growing number of applications. State-of-the-art approaches assume there exists a text …
AIDE: an active learning-based approach for interactive data exploration
K Dimitriadou, O Papaemmanouil… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we argue that database systems be augmented with an automated data
exploration service that methodically steers users through the data in a meaningful way …
exploration service that methodically steers users through the data in a meaningful way …
Interactive intent modeling for exploratory search
Exploratory search requires the system to assist the user in comprehending the information
space and expressing evolving search intents for iterative exploration and retrieval of …
space and expressing evolving search intents for iterative exploration and retrieval of …
Improving recommendation for long-tail queries via templates
The ability to aggregate huge volumes of queries over a large population of users allows
search engines to build precise models for a variety of query-assistance features such as …
search engines to build precise models for a variety of query-assistance features such as …