Topic
Exploratory search
About: Exploratory search is a research topic. Over the lifetime, 864 publications have been published within this topic receiving 17142 citations.
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TL;DR: A system of reinforcing gussets or strips is provided for strengthening a burial vault liner against flexure under the load presented by flowable cementitious vault forming material.
Abstract: First, a new model of searching in online and other information systems, called ‘berrypicking’, is discussed. This model, it is argued, is much closer to the real behavior of information searchers than the traditional model of information retrieval is, and, consequently, will guide our thinking better in the design of effective interfaces. Second, the research literature of manual information seeking behavior is drawn on for suggestions of capabilities that users might like to have in online systems. Third, based on the new model and the research on information seeking, suggestions are made for how new search capabilities could be incorporated into the design of search interfaces. Particular attention is given to the nature and types of browsing that can be facilitated.
1,703 citations
TL;DR: Research tools critical for exploratory search success involve the creation of new interfaces that move the process beyond predictable fact retrieval.
Abstract: Research tools critical for exploratory search success involve the creation of new interfaces that move the process beyond predictable fact retrieval.
1,493 citations
TL;DR: This lecture introduces exploratory search, relates it to relevant extant research, outline the features of exploratorySearch systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratorysearch.
Abstract: As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking problem context that is open-ended, persistent, and multifaceted, and information-seeking processes that are opportunistic, iterative, and multitactical. Exploratory searchers aim to solve complex problems and develop enhanced mental capacities. Exploratory search systems support this through symbiotic human-machine relationships that provide guidance in exploring unfamiliar information landscapes. Exploratory search has gained prominence in recent years. There is an increased interest from the information retrieval, information science, and human-computer interaction communities in moving beyond the traditional turn-taking interaction model support d by major Web search engines, and toward support for human intelligence amplification and information use. In this lecture, we introduce exploratory search, relate it to relevant extant research, outline the features of exploratory search systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratory search. Exploratory search is a new frontier in the search domain and is becoming increasingly important in shaping our future world. Table of Contents: Introduction / Defining Exploratory Search / Related Work / Features of Exploratory Search Systems / Evaluation of Exploratory Search Systems / Future Directions and concluding Remarks
725 citations
TL;DR: An investigation into exploratory search behavior is reported on and attempts to establish a connection between the layout of objects in a display and the amount of attention devoted to each of these objects.
Abstract: Visual information search is a combination of two distinct types of behavior. Goal-directed search behavior occurs when consumers use stored search routines to collect information in a deliberate manner. In contrast, exploratory search behavior occurs when consumers are confronted with multiple pieces of information but have little stored knowledge about how to proceed with the information gathering. This article reports on an investigation into exploratory search behavior and attempts to establish a connection between the layout of objects in a display and the amount of attention devoted to each of these objects. The research has implications for catalog page layout and visual merchandising.
488 citations
Proceedings Article•
16 May 2010TL;DR: This work presents TweetMotif, an exploratory search application for Twitter that groups messages by frequent significant terms — a result set’s subtopics — which facilitate navigation and drilldown through a faceted search interface.
Abstract: We present TweetMotif, an exploratory search application for Twitter. Unlike traditional approaches to information retrieval, which present a simple list of messages, TweetMotif groups messages by frequent significant terms — a result set’s subtopics — which facilitate navigation and drilldown through a faceted search interface. The topic extraction system is based on syntactic filtering, language modeling, near-duplicate detection, and set cover heuristics. We have used TweetMotif to deflate rumors, uncover scams, summarize sentiment, and track political protests in real-time. A demo of TweetMotif, plus its source code, is available at http://tweetmotif.com.
420 citations