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Identifying task-based sessions in search engine query logs
2011
Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11
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The research challenge addressed in this paper is to devise effective techniques for identifying task-based sessions, i.e. sets of possibly non contiguous queries issued by the user of a Web Search Engine ...
In order to evaluate and compare different approaches, we built, by means of a manual labeling process, a ground-truth where the queries of a given query log have been grouped in tasks. ...
Authors also thank Franco Maria Nardini for the help provided in adapting the original Query Flow Graph implementation. ...
doi:10.1145/1935826.1935875
dblp:conf/wsdm/LuccheseOPST11
fatcat:kfxt4tsakzg3npkllpkeevyxca
How do users grow up along with search engines?
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
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The findings have implications for how Web search engines should better support users' information seeking process by tackling complex search tasks and complicated query formulations. ...
With a stronger reliance on search engines in our daily life, a large number of studies have investigated user behavior characteristics in Web search. ...
[3] analyzed individual queries, query duplication, and query sessions based on an AltaVista Search Engine query log. ...
doi:10.1145/2505515.2505650
dblp:conf/cikm/LiuLZM13
fatcat:ubkavtwihne3zpu5vwijwesnl4
Enhancing personalization via search activity attribution
2014
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14
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Using logs containing both person and machine identifiers, and logs from a popular commercial search engine, we learn models that accurately assign observed search behaviors to each of different users. ...
However, shared machine usage is common, and in these cases, the activities of multiple users may be generated under a single identifier, creating a potentially noisy signal for applications such as search ...
We consider assignment based on the first query of the search session, and all of the session-based features can be computed by limiting the session to a single query. ...
doi:10.1145/2600428.2609510
dblp:conf/sigir/SinglaWHH14
fatcat:ofhm43dx3fbchnefqvz2cn2kfi
Identifying the Names of Complex Search Tasks with Task-Related Entities
2016
International Journal of Computational Linguistics and Chinese Language Processing
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Conventional search engines usually consider a search query corresponding only to a simple task. ...
To understand and improve user behavior when searching a complex task, we propose an entity-driven complex task model (ECTM) based on exploiting microblogs and query logs. ...
Nevertheless, a single user's search session from query logs may not be sufficient in identifying complex search tasks since complex tasks may cross search sessions or be interleaved in a single search ...
dblp:journals/ijclclp/WangL16
fatcat:ipuc62ri5fggrns7rgmct52ocq
Identifying Real-Life Complex Task Names with Task-Intrinsic Entities from Microblogs
2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
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A complex task thus needs to submit several queries in order to seeking each of entities. ...
Understanding complex tasks can allow a search engine to suggest related entities and help users explicitly assign their ongoing tasks. ...
Lucchese et al. (2011) tried to identify task-based sessions in query logs by semantic-based features extracted from Wiktionary and Wikipedia to overcome lack of semantic information. ...
doi:10.3115/v1/p14-2077
dblp:conf/acl/WangTL14
fatcat:aj42tp7hmjgwtk4f32er4pip3i
A Multilingual Approach for Unsupervised Search Task Identification
2020
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
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Search engine logs contain queries in multiple languages, but most existing methods for search task identification are not multilingual. ...
Query logs registered by search engines enable the automatic identification of the search tasks that users perform to fulfill their information needs. ...
Mining query logs from search engines enable the automatic modeling of search tasks. ...
doi:10.1145/3397271.3401258
dblp:conf/sigir/LugoMH20a
fatcat:uuw6eugy7bc2jp3r6re6mzfoee
Beyond the session timeout
2008
Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08
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Keywords query log segmentation, query session, query session boundary detection, search goal ...
However, users query search engines in order to accomplish tasks at a variety of granularities, issuing multiple queries as they attempt to accomplish tasks. ...
RELATED WORK In library search systems, "sessions" were easy to identify: users logged in for a single task then logged out again, so login IDs could be used. ...
doi:10.1145/1458082.1458176
dblp:conf/cikm/JonesK08
fatcat:4twwavgcprfercfjn7gtja7pze
How medical expertise influences web search interaction
2008
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08
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In this poster we present findings from a log-based study into how medical domain experts search the Web for information related to their expertise, as compared with non-experts. ...
We find differences in sites visited, query vocabulary, and search behavior. ...
To address this concern we developed two methods to identify comparable tasks. For one, we identified search sessions that began with the same query. ...
doi:10.1145/1390334.1390506
dblp:conf/sigir/WhiteDT08
fatcat:2vlof5cqxzabjadhr2qzpbudem
Predicting implicit search behaviors usinglog analysis
2018
International Journal of Engineering & Technology
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Search engines provide ranked information based on the query given by the user. Understanding user search behavior is an important task for satisfaction of the users with the needed information. ...
These details will be available in the dataset of web search log. ...
Web search logs contain user activities towards search engines, such as queries, reading time and clicks. Search trails store the prints left by users of search engines in their search processes. ...
doi:10.14419/ijet.v7i1.7.9582
fatcat:x5bzqwhu4vdi7osarrvid3bisy
A Survey on Feedback Session for Inferring User Search Query with CAP
2016
International Journal of Science and Research (IJSR)
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to search to by their query to explain their recognized uncertain in sequence search engines does not give correct result of user required query and does not satisfy the request hence it is necessary to ...
the proposed feedback session .feedback session buit/ construct from user click through logs consist the information about different user search information. ...
User Search task for query Though users query search engines in order to achieve tasks at a diversity of granularities, issue numerous query as they effort to accomplish tasks .R Jones and K.L linker ...
doi:10.21275/v5i1.nov152863
fatcat:bsipuv6kdrbjdjn5sikblsv5ki
Characterizing and predicting search engine switching behavior
2009
Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09
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In this paper we present a study of search engine switching behavior that combines largescale log-based analysis and survey data. ...
We characterize aspects of switching behavior, and develop and evaluate predictive models of switching behavior using features of the active query, the current session, and user search history. ...
Any personally identifiable information was removed from the logs prior to analysis. From these logs we extracted search sessions. Every session began with a query issued to Google, Yahoo! ...
doi:10.1145/1645953.1645967
dblp:conf/cikm/WhiteD09
fatcat:oje6tlxb6zhk3kqi5sbz5cx6fi
Discovering tasks from search engine query logs
2013
ACM Transactions on Information Systems
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First, we identify user tasks from individual user sessions stored in search engine query logs. ...
In our vision, a user task is a set of possibly noncontiguous queries (within a user search session), which refer to the same need. ...
Research Labs in Barcelona, Spain, for providing us their query-flow graph implementation, and Franco Maria Nardini for adapting this implementation to our needs. ...
doi:10.1145/2493175.2493179
fatcat:2tu3ckionnf3thjk7uetqhddkq
Analyzing Web Search Behavior for Software Engineering Tasks
[article]
2020
arXiv
pre-print
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In this work, we present the first large-scale analysis of web search behavior for SE tasks using the search query logs from Bing, a commercial web search engine. ...
Subsequently, we propose a taxonomy of intents to identify the various contexts in which web search is used in software engineering. ...
WEB SEARCH LOGS In this study, we use the search query logs from Bing, a commercial web search engine. The logs comprise of a rich set of metadata associated with each user query. ...
arXiv:1912.09519v3
fatcat:bdah3un2uneoxprepiyvmf4j3e
Task Trail Based Enhanced User Experience in Customer Facing Website using Automatic Facet Construction Techniques
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Finally we proposed a novel method of improving end user search experience by combining the task trail based user behavior and Automatic facet searching. ...
Our scopes of work will predominately combining the Automatic facets with the user behavior from the task trail and adding product based standardization to improve the end search experience. ...
The queries may sometime interleave with in the time threshold. The session based logs are further segmented based on the task according to semantic relationship between the user search queries. ...
doi:10.35940/ijitee.i3172.0789s319
fatcat:uxrzx565srat5i6ep765wbmzyq
Modeling and analysis of cross-session search tasks
2011
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11
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The information needs of search engine users vary in complexity, depending on the task they are trying to accomplish. ...
We focus on two problems: (i) given a user query, identify all related queries from previous sessions that the user has issued, and (ii) given a multi-query task for a user, predict whether the user will ...
In this paper we focus on tasks that extend across sessions. There has been some work on characterizing such tasks using log or survey data, and on automatically identifying queries on the same task. ...
doi:10.1145/2009916.2009922
dblp:conf/sigir/KotovBWDT11
fatcat:aswkmg3555eo7hmdr7ifvode34
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