exploratory search
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2022 ◽  
Vol 12 (2) ◽  
pp. 706
Author(s):  
Pengfei Li ◽  
Yin Zhang ◽  
Bin Zhang

In exploratory search, users sometimes combine two or more issued queries into new queries. We present such a kind of search behavior as query combination behavior. We find that the queries after combination usually can better meet users’ information needs. We also observe that users combine queries for different motivations, which leads to different types of query combination behaviors. Previous work on understanding user exploratory search behaviors has focused on how people reformulate queries, but not on how and why they combine queries. Being able to answer these questions is important for exploring how users search and learn during information retrieval processes and further developing support to assist searchers. In this paper, we first describe a two-layer hierarchical structure for understanding the space of query combination behavior types. We manually classify query combination behavior sessions from AOL and Sogou search engines and explain the relationship from combining queries to success. We then characterize some key aspects of this behavior and propose a classifier that can automatically classify types of query combination behavior using behavioral features. Finally, we summarize our findings and show how search engines can better assist searchers.


2021 ◽  
Author(s):  
Ivan Kropotov ◽  
Alan Medlar ◽  
Dorota Glowacka
Keyword(s):  

2021 ◽  
Vol 15 (2) ◽  
pp. 77-103
Author(s):  
Gustavo Laet Gomes

Even though rejecting the notion of void, Aristotle considers it a crucial theme in his discussion about motion. That becomes evident when we find four chapters of Physics 4 dedicated to the discussion and refutation of the void. In this paper, I set on an exploratory search for the reasons that moved Aristotle to discuss the idea of void as a container (ἀγγεῖον) in Phys. 4.6 213a15-19, unearthing a series of terms and notions used by previous thinkers that may have led Aristotle to formulate such conception. Special attention is given to Democritus, who, with his theory of atoms and void, is clearly the main target of Aristotle’s criticism of the void. I conclude that the notion of void as a container is not at all strange to ancient thinkers, and that its reconstitution by Aristotle is everything but trivial and simplistic, inasmuch as the Democritean notion of void he intends to refute is everything but trivial and simplistic.


2021 ◽  
Author(s):  
Chen He ◽  
Luana Micallef ◽  
Barış Serim ◽  
Tung Vuong ◽  
Tuukka Ruotsalo ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Elisa Kwon ◽  
Forrest Huang ◽  
Kosa Goucher-Lambert

Abstract Inspirational stimuli are known to be effective in supporting ideation during the design process. However, minimal prior work has allowed individuals to search using multiple modes of input simultaneously, which is more representative of real design behavior. In the current work, we developed a multi-modal search platform that retrieves 3D model parts based on text, appearance, and function-based search inputs. This work presents the results of an experimental study (n = 21) in which the search platform was used to find parts identified as potentially useful for inspiring solutions to a design challenge. Participants were asked to engage with three different search modalities: search by keywords, by curated 3D parts, and by user-assembled 3D parts in their workspace. When searching by parts that are curated or in their workspace, additional control over the similarity of appearance and function of results in reference to the input was available to participants. The results of this study demonstrate that the modality used affects search behavior, such as in the frequency of searches, how participants engage with retrieved search results, and how broadly the search space is covered. Specific results link interactions with the interface to search strategies participants may have used during the task. Findings suggest that multi-modal search should enable intentional search for desired goals through direct search inputs (e.g., by keyword) and incremental adjustments to features of visually represented search inputs. Moreover, enabling discovery of inexplicitly searched for examples through related information or more randomly encountered examples may assist exploratory search behavior.


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