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• W2467747150 abstract "This thesis presents research towards a core aim of information retrieval (IR): providing users with easy access to information. Three research themes guide the research presented in this thesis, contributing to three aspects of IR research: the domain in which an IR system is used, the users interacting with the system, and the different access scenarios in which these users engage with an IR system. Central to these research themes is the aim to gain insights into the behavior of searchers and develop algorithms to support them in their quest, whether it is a researcher exploring or studying a large collection, a web searcher struggling to find something, or a television viewer searching for related content. The first research theme is motivated by the information seeking tasks of researchers exploring and studying large collections. To enable their search on a larger scale, we propose computational methods to connect collections and to infer the perspective offered in a news story. Motivated by how historians select documents for close reading, we propose novel methods for connecting collections using automatically extracted temporal references. To illustrate how these algorithms can be used to automatically create connections between collections, we introduce a novel search interface to explore and analyze the connected collections. The interface highlights different perspectives and requires little domain knowledge. Based on how communication scientists study framing in news, we propose an automatic thematic content analysis approach. The second research theme is addressed in a mixed-methods study on how web searchers behave when they cannot find what they are looking for. Based on large-scale log analysis, crowd-sourced labeling, and predictive modeling we show behavioral differences given task success and failure. Based on these findings we propose ways in which systems can reduce struggling in search. To support searchers, we propose and evaluate algorithms that accurately predict the nature of future actions and their anticipated impact on search outcomes. Our findings have implications for the design of search systems that help searchers struggle less and succeed more. In the third and final research theme, we consider a pro-active search scenario, specifically in a live television setting. We propose algorithms that leverage contextual information to retrieve diverse related content for a leaned-back TV viewer. While watching television, people increasingly consume additional content related to what they are watching. Two methods to automatically retrieve content based on subtitles are introduced, one using entity linking, and one that uses reinforcement learning to generate effective queries for finding related content. Both methods are highly efficient and are currently used in a live television setting in near real time. Each research chapter in this thesis provides insights and algorithms that help searchers when using IR applications. For varying domains, users, and access scenarios, the research presented in this thesis improves the ease of access to information." @default.
• W2467747150 created "2016-07-22" @default.
• W2467747150 creator A5071940615 @default.
• W2467747150 date "2016-06-27" @default.
• W2467747150 modified "2023-09-24" @default.
• W2467747150 title "Context & Semantics in News & Web Search" @default.
• W2467747150 cites W1197384130 @default.
• W2467747150 cites W1260602278 @default.
• W2467747150 cites W138795431 @default.
• W2467747150 cites W142504791 @default.
• W2467747150 cites W1480606622 @default.
• W2467747150 cites W1482426847 @default.
• W2467747150 cites W1482992112 @default.
• W2467747150 cites W1483259254 @default.
• W2467747150 cites W1485595450 @default.
• W2467747150 cites W1490056669 @default.
• W2467747150 cites W1490101656 @default.
• W2467747150 cites W1492684280 @default.
• W2467747150 cites W1493075065 @default.
• W2467747150 cites W1495633918 @default.
• W2467747150 cites W1495712467 @default.
• W2467747150 cites W1496070888 @default.
• W2467747150 cites W1497615319 @default.
• W2467747150 cites W1498831551 @default.
• W2467747150 cites W1499460041 @default.
• W2467747150 cites W1501754372 @default.
• W2467747150 cites W1507509779 @default.
• W2467747150 cites W1509972796 @default.
• W2467747150 cites W1510156534 @default.
• W2467747150 cites W1515497732 @default.
• W2467747150 cites W1516028496 @default.
• W2467747150 cites W1520062841 @default.
• W2467747150 cites W1529776299 @default.
• W2467747150 cites W1535000573 @default.
• W2467747150 cites W1539523178 @default.
• W2467747150 cites W1547870253 @default.
• W2467747150 cites W1556328565 @default.
• W2467747150 cites W1559459142 @default.
• W2467747150 cites W1560615872 @default.
• W2467747150 cites W1566861348 @default.
• W2467747150 cites W1569763952 @default.
• W2467747150 cites W1579802122 @default.
• W2467747150 cites W1582183750 @default.
• W2467747150 cites W1591008825 @default.
• W2467747150 cites W1598777784 @default.
• W2467747150 cites W1604270505 @default.
• W2467747150 cites W1605761612 @default.
• W2467747150 cites W1634939154 @default.
• W2467747150 cites W1773620436 @default.
• W2467747150 cites W1805944061 @default.
• W2467747150 cites W1828219555 @default.
• W2467747150 cites W1846587825 @default.
• W2467747150 cites W1851642505 @default.
• W2467747150 cites W1867365399 @default.
• W2467747150 cites W1879392809 @default.
• W2467747150 cites W1912964554 @default.
• W2467747150 cites W1926959129 @default.
• W2467747150 cites W1932568725 @default.
• W2467747150 cites W1937232944 @default.
• W2467747150 cites W1947277358 @default.
• W2467747150 cites W1958487049 @default.
• W2467747150 cites W1977688769 @default.
• W2467747150 cites W1989502263 @default.
• W2467747150 cites W2098847195 @default.
• W2467747150 cites W2098898236 @default.
• W2467747150 cites W2099217962 @default.
• W2467747150 cites W2099701894 @default.
• W2467747150 cites W2101804526 @default.
• W2467747150 cites W2104753246 @default.
• W2467747150 cites W2105814583 @default.
• W2467747150 cites W2108486695 @default.
• W2467747150 cites W2108877647 @default.
• W2467747150 cites W2109910628 @default.
• W2467747150 cites W2113634423 @default.
• W2467747150 cites W2115760558 @default.
• W2467747150 cites W2120927828 @default.
• W2467747150 cites W2122354734 @default.
• W2467747150 cites W2123460377 @default.
• W2467747150 cites W2126505159 @default.
• W2467747150 cites W2127214067 @default.
• W2467747150 cites W2128118337 @default.
• W2467747150 cites W2130398620 @default.
• W2467747150 cites W2130488532 @default.
• W2467747150 cites W2132332862 @default.
• W2467747150 cites W2136145761 @default.
• W2467747150 cites W2137482668 @default.
• W2467747150 cites W2144047423 @default.
• W2467747150 cites W2146669170 @default.
• W2467747150 cites W2147241500 @default.
• W2467747150 cites W2147783027 @default.
• W2467747150 cites W2154996206 @default.
• W2467747150 cites W2155042111 @default.
• W2467747150 cites W2155406818 @default.
• W2467747150 cites W2157952330 @default.
• W2467747150 cites W2160513704 @default.
• W2467747150 cites W2161948512 @default.
• W2467747150 cites W2163736547 @default.
• W2467747150 cites W2164822392 @default.

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