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Extracting news-related queries from web query log
2006
Proceedings of the 15th international conference on World Wide Web - WWW '06
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In this poster, we present a method for extracting queries related to real-life events, or news-related queries, from large web query logs. ...
News-related queries can be helpful for disambiguating user information needs, as well as for effective online news processing. The performed evaluation proves that the method yields good precision. ...
Whereas Henzinger et al. extract queries from current TV broadcast transcripts, thus enabling 'query-free news search', we aim at extracting queries related to real-life events from a general-purpose web ...
doi:10.1145/1135777.1135950
dblp:conf/www/MaslovGSB06
fatcat:soolpvvp2ffqbgwiccdgkfssti
Extracting Consumers Needs for New Products - A Web Mining Approach
2010
2010 Third International Conference on Knowledge Discovery and Data Mining
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Here we introduce a web mining approach for automatically identifying new product ideas extracted from web logs. ...
As a result, new product ideas are extracted from the web logs and presented to the users. Web Mining; Text Classification; New Product Development, Knowledge Discovery I. ...
Therefore, with an automatically process we support these marketing activities by extracting these new product ideas from web logs. ...
doi:10.1109/wkdd.2010.14
dblp:conf/wkdd/ThorleuchterPP10
fatcat:che6hfvnr5a6fovudhbymuyzwy
Identifying comparable entities on the web
2009
Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09
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With this in mind, we present an initial step of mining comparable entities from sources of information available to a large-scale Web search engine, namely, search query logs and documents from a Web ...
Web search engines are often presented with user queries that involve comparisons of real-world entities. ...
from the Web. ...
doi:10.1145/1645953.1646198
dblp:conf/cikm/JainP09
fatcat:zyb5oysurvdhhbintsoninlfou
Acronym-Expansion Recognition and Ranking on the Web
2007
2007 IEEE International Conference on Information Reuse and Integration
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The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search engines. ...
We investigate three information sources for extracting and ranking acronym-expansion pairs, as provided by a large-scale search engine: the crawled web documents, the search engine logs, and the search ...
Extracting Acronym-Expansion Pairs from Search Query Logs While the acronym-expansion relation obtained from the web crawl provides insightful information about the usage of acronyms on the Web, it is ...
doi:10.1109/iri.2007.4296622
dblp:conf/iri/JainCA07
fatcat:pmhnzds7onbfldarwvmvox6aza
The role of documents vs. queries in extracting class attributes from text
2007
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management - CIKM '07
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In a head-to-head qualitative comparison, a lightweight extraction method produces class attributes that are 45% more accurate on average, when acquired from query logs rather than Web documents. ...
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources of data in textual information ...
Section 2 introduces a method for extracting quantifiable attributes of arbitrary classes from query logs and Web documents. ...
doi:10.1145/1321440.1321510
dblp:conf/cikm/PascaDG07
fatcat:icuyc5vf4beq5blkmyxa57dndu
Employing web search query click logs for multi-domain spoken language understanding
2011
2011 IEEE Workshop on Automatic Speech Recognition & Understanding
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Since the form of natural language utterances differs stylistically from that of keyword search queries, to be able to match natural language utterances with related search queries, we perform a syntax-based ...
Logs of user queries from a search engine (such as Bing or Google) together with the links clicked provide valuable implicit feedback to improve statistical spoken language understanding (SLU) models. ...
RELATED WORK Previous work on web search has benefited from the use of query click logs for improving query intent classification. ...
doi:10.1109/asru.2011.6163968
dblp:conf/asru/Hakkani-TurTHCFHIP11
fatcat:7z35sldwxjeodlvhi6x5ybtnz4
Relevant term suggestion in interactive web search based on contextual information in query session logs
2003
Journal of the American Society for Information Science and Technology
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In this paper, we present a new, effective log-based approach to relevant term extraction and term suggestion. ...
Such approaches must deal with term extraction difficulties and interference from irrelevant documents, and, more importantly, have difficulty extracting terms that are conceptually related but do not ...
can be extracted from collected query logs. ...
doi:10.1002/asi.10256
fatcat:3tz7jyikvvbq7jb4crbiwtlesu
Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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The new method automatically mines behavioral search and browse patterns from web logs and translates them into spoken dialog models. ...
We also achieve better performance for both entity and relation extraction on web search queries when compared with nontrivial baselines. ...
Results for relation extraction on queries from Search log.
Recall on E-R-E Recall on T-R-E
ENTITY EXTRACTION IN SPOKEN DIALOG SYSTEMS SDS Corpora. ...
doi:10.1109/icassp.2014.6854369
dblp:conf/icassp/WangHH14
fatcat:bragpfent5ayjnkmm5t34bs4dm
Actively Mining Search Logs for Diverse Tags
[chapter]
2012
Lecture Notes in Computer Science
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In order to keep diversity, we first classify web queries into different categories and then extract tags from queries to depict each category. ...
In this paper, we will demonstrate a brand-new perspective -tagging web pages automatically by mining search logs. ...
In order to keep diversity, we classify web queries into different categories and then extract tags from queries to depict each category. ...
doi:10.1007/978-3-642-35341-3_48
fatcat:wtbid754yngg7i6bkxh5ntj5ia
Providing ranked relevant results for web database queries
2004
Alternate track papers & posters of the 13th international conference on World Wide Web - WWW Alt. '04
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We propose to provide ranked answers to user queries by identifying a set of queries from the query log whose answers are relevant to the given user query. ...
Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. ...
Moreover to extract answers from Web databases one must issue a query over the database. ...
doi:10.1145/1010432.1010517
fatcat:cdxx3ttsybfnphowjsnzig6pee
Providing ranked relevant results for web database queries
2004
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters - WWW Alt. '04
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We propose to provide ranked answers to user queries by identifying a set of queries from the query log whose answers are relevant to the given user query. ...
Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. ...
Moreover to extract answers from Web databases one must issue a query over the database. ...
doi:10.1145/1013367.1013452
dblp:conf/www/NambiarK04
fatcat:c6lgzmsa4zhkbjjjj273b6itp4
Organizing and searching the world wide web of facts -- step two
2007
Proceedings of the 16th international conference on World Wide Web - WWW '07
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class attributes (e.g., side effects and generic equivalent for drugs) from anonymized query logs. ...
As part of a large effort to acquire large repositories of facts from unstructured text on the Web, a seed-based framework for textual information extraction allows for weakly supervised extraction of ...
at rank 50, thus holding the promise of a new path in research in information extraction from query logs. ...
doi:10.1145/1242572.1242587
dblp:conf/www/Pasca07
fatcat:73ylinjgnvcbpn2txa4xchhhma
Domain-independent entity extraction from web search query logs
2011
Proceedings of the 20th international conference companion on World wide web - WWW '11
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Query logs of a Web search engine have been increasingly used as a vital source for data mining. This paper presents a study on largescale domain-independent entity extraction from search query logs. ...
We compare against existing techniques that use Web documents as well as search logs, and show that we improve over the state of the art. ...
Extracting entities from query logs instead of web corpora has several advantages, in view of query-log-based application [4] . ...
doi:10.1145/1963192.1963225
dblp:conf/www/JainP11
fatcat:yy3alfbg2nezjltzcq5pggb2ny
Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems
[article]
2016
arXiv
pre-print
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The new method automatically mines behavioral search and browse patterns from web logs and translates them into spoken dialog models. ...
We also achieve better performance for both entity and relation extraction on web search queries when compared with nontrivial baselines. ...
Results for relation extraction on queries from Search log. ...
arXiv:1606.07967v1
fatcat:dz5aopxvhbd7pc4dyn7apxho5i
An approach for selecting seed URLs of focused crawler based on user-interest ontology
2014
Applied Soft Computing
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Ranking web pages In this module, relevant queries are captured from the search logs to consider queries that are likely to induce users to click frequently on the same set of URLs. ...
User profile creation If any new users enter into the system, he/she should register with their details first before login. This module is for getting the query from the user. ...
RELATED WORK [1] Topic-specific web crawler is a program used for searching information related to some interested topics from the Internet. ...
doi:10.1016/j.asoc.2013.09.007
fatcat:oigcgs4fx5fdniqrucqtsayufm
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