B-hist: Entity-centric search over personal web browsing history
Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword...
Ausführliche Beschreibung
Autor*in: |
Catasta, Michele [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2014transfer abstract |
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Schlagwörter: |
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Umfang: |
7 |
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Übergeordnetes Werk: |
Enthalten in: Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group - 2012transfer abstract, science, services and agents on the World Wide Web, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:27 ; year:2014 ; pages:19-25 ; extent:7 |
Links: |
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DOI / URN: |
10.1016/j.websem.2014.07.003 |
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Katalog-ID: |
ELV039261867 |
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520 | |a Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. | ||
520 | |a Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. | ||
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10.1016/j.websem.2014.07.003 doi GBVA2014007000006.pica (DE-627)ELV039261867 (ELSEVIER)S1570-8268(14)00051-1 DE-627 ger DE-627 rakwb eng 400 620 400 DE-600 620 DE-600 660 VZ 540 VZ 610 VZ 44.90 bkl Catasta, Michele verfasserin aut B-hist: Entity-centric search over personal web browsing history 2014transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Browsing history Elsevier Personal memories Elsevier Entity-centric search Elsevier Tonon, Alberto oth Demartini, Gianluca oth Ranvier, Jean-Eudes oth Aberer, Karl oth Cudré-Mauroux, Philippe oth Enthalten in Elsevier Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group 2012transfer abstract science, services and agents on the World Wide Web Amsterdam [u.a.] (DE-627)ELV026326361 volume:27 year:2014 pages:19-25 extent:7 https://doi.org/10.1016/j.websem.2014.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 27 2014 19-25 7 045F 400 |
spelling |
10.1016/j.websem.2014.07.003 doi GBVA2014007000006.pica (DE-627)ELV039261867 (ELSEVIER)S1570-8268(14)00051-1 DE-627 ger DE-627 rakwb eng 400 620 400 DE-600 620 DE-600 660 VZ 540 VZ 610 VZ 44.90 bkl Catasta, Michele verfasserin aut B-hist: Entity-centric search over personal web browsing history 2014transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Browsing history Elsevier Personal memories Elsevier Entity-centric search Elsevier Tonon, Alberto oth Demartini, Gianluca oth Ranvier, Jean-Eudes oth Aberer, Karl oth Cudré-Mauroux, Philippe oth Enthalten in Elsevier Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group 2012transfer abstract science, services and agents on the World Wide Web Amsterdam [u.a.] (DE-627)ELV026326361 volume:27 year:2014 pages:19-25 extent:7 https://doi.org/10.1016/j.websem.2014.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 27 2014 19-25 7 045F 400 |
allfields_unstemmed |
10.1016/j.websem.2014.07.003 doi GBVA2014007000006.pica (DE-627)ELV039261867 (ELSEVIER)S1570-8268(14)00051-1 DE-627 ger DE-627 rakwb eng 400 620 400 DE-600 620 DE-600 660 VZ 540 VZ 610 VZ 44.90 bkl Catasta, Michele verfasserin aut B-hist: Entity-centric search over personal web browsing history 2014transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Browsing history Elsevier Personal memories Elsevier Entity-centric search Elsevier Tonon, Alberto oth Demartini, Gianluca oth Ranvier, Jean-Eudes oth Aberer, Karl oth Cudré-Mauroux, Philippe oth Enthalten in Elsevier Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group 2012transfer abstract science, services and agents on the World Wide Web Amsterdam [u.a.] (DE-627)ELV026326361 volume:27 year:2014 pages:19-25 extent:7 https://doi.org/10.1016/j.websem.2014.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 27 2014 19-25 7 045F 400 |
allfieldsGer |
10.1016/j.websem.2014.07.003 doi GBVA2014007000006.pica (DE-627)ELV039261867 (ELSEVIER)S1570-8268(14)00051-1 DE-627 ger DE-627 rakwb eng 400 620 400 DE-600 620 DE-600 660 VZ 540 VZ 610 VZ 44.90 bkl Catasta, Michele verfasserin aut B-hist: Entity-centric search over personal web browsing history 2014transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Browsing history Elsevier Personal memories Elsevier Entity-centric search Elsevier Tonon, Alberto oth Demartini, Gianluca oth Ranvier, Jean-Eudes oth Aberer, Karl oth Cudré-Mauroux, Philippe oth Enthalten in Elsevier Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group 2012transfer abstract science, services and agents on the World Wide Web Amsterdam [u.a.] (DE-627)ELV026326361 volume:27 year:2014 pages:19-25 extent:7 https://doi.org/10.1016/j.websem.2014.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 27 2014 19-25 7 045F 400 |
allfieldsSound |
10.1016/j.websem.2014.07.003 doi GBVA2014007000006.pica (DE-627)ELV039261867 (ELSEVIER)S1570-8268(14)00051-1 DE-627 ger DE-627 rakwb eng 400 620 400 DE-600 620 DE-600 660 VZ 540 VZ 610 VZ 44.90 bkl Catasta, Michele verfasserin aut B-hist: Entity-centric search over personal web browsing history 2014transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. Browsing history Elsevier Personal memories Elsevier Entity-centric search Elsevier Tonon, Alberto oth Demartini, Gianluca oth Ranvier, Jean-Eudes oth Aberer, Karl oth Cudré-Mauroux, Philippe oth Enthalten in Elsevier Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group 2012transfer abstract science, services and agents on the World Wide Web Amsterdam [u.a.] (DE-627)ELV026326361 volume:27 year:2014 pages:19-25 extent:7 https://doi.org/10.1016/j.websem.2014.07.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 27 2014 19-25 7 045F 400 |
language |
English |
source |
Enthalten in Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group Amsterdam [u.a.] volume:27 year:2014 pages:19-25 extent:7 |
sourceStr |
Enthalten in Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group Amsterdam [u.a.] volume:27 year:2014 pages:19-25 extent:7 |
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Catalytic decomposition of 4-phenoxyphenol to aromatics over palladium catalysts supported on activated carbon aerogel bearing sulfonic acid group |
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Catasta, Michele @@aut@@ Tonon, Alberto @@oth@@ Demartini, Gianluca @@oth@@ Ranvier, Jean-Eudes @@oth@@ Aberer, Karl @@oth@@ Cudré-Mauroux, Philippe @@oth@@ |
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Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. |
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Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. |
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Web Search is increasingly entity centric; as a large fraction of common queries target specific entities, search results get progressively augmented with semi-structured and multimedia information about those entities. However, search over personal web browsing history still revolves around keyword-search mostly. In this paper, we present a novel approach to answer queries over web browsing logs that takes into account entities appearing in the web pages, user activities, as well as temporal information. Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search. In the following, we present our system and motivate our User Interface (UI) design choices by detailing the results of a survey on web browsing and history search. In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages. |
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