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Query Phrase Suggestion from Topically Tagged Session Logs
[chapter]
2006
Lecture Notes in Computer Science
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We find that suggesting query phrases other users have found it necessary to add for a given query (mined from session logs) dramatically improves the quality of suggestions over simply using cooccurrence ...
To mitigate this, we tag query phrases with higher level topical categories to mine more general rules, finding that this enables us to make suggestions for approximately 10% more queries while maintaining ...
Mining suggestions from other users' behavior in a query session log. 2. Tagging query phrases with topical categories to mine more general rules. ...
doi:10.1007/11766254_16
fatcat:ehctv64uvnfylmf47rqdbgyhsi
Using query log and social tagging to refine queries based on latent topics
2011
Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11
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The proposed model exploits a latent topic space, which is automatically derived from the query log, to assess the semantic dependency of terms in a query. ...
Based on the observation that different users may tag the same resource with different tags of similar meaning, we propose a method to mine these term pairs for new candidate query construction. ...
discovered from the query log. ...
doi:10.1145/2063576.2063663
dblp:conf/cikm/BingLW11
fatcat:hish3hlxk5dkrknha2x2wxwijy
Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track
2015
Text Retrieval Conference
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Given a query, we then find matching seed candidates (link text from the web graph or queries over search logs) and expand to related candidate key phrases via this session assumption. ...
Given a query, we find matching seed candidates (link text from the web graph or queries over search logs) using a soft matching. ...
ERR-IA@10 ERR-IA@20 ERR-IA@1000 ↵-nDCG@10 ↵-nDCG@20 ↵-nDCG@1000 -0.0154 -0.0219 -0.0232 -0.0177 -0.0446 -0.0681 Table 1 : Overall Average of Difference from Mean Topic. ...
dblp:conf/trec/BennettW15
fatcat:2q7xofursvf2fne6rbwmme3gve
A Day in the Life of PubMed: Analysis of a Typical Day's Query Log
2007
JAMIA Journal of the American Medical Informatics Association
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Results: The size of the result sets from a sample of queries showed a bimodal distribution, with peaks at approximately 3 and 100 results, suggesting that a large group of queries was tightly focused ...
semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. ...
Background Query logs are usually derived from server logs and contain queries issued by users. ...
doi:10.1197/jamia.m2191
pmid:17213501
pmcid:PMC2213463
fatcat:bwa2d63d75f27f3laqjpiidobq
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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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. ...
Understanding complex tasks with task-related entities can allow a search engine to suggest integrated search results for each sub-task simultaneously. ...
Given an input query q and query logs Q, we first separate queries in the query logs into search sessions by the time gap of 24 hours. ...
dblp:journals/ijclclp/WangL16
fatcat:ipuc62ri5fggrns7rgmct52ocq
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context
2015
ACM Transactions on Information Systems
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the patterns generated from query log data. ...
The proposed model exploits a latent topic space, which is automatically derived from the query log, to detect semantic dependency of terms in a query and dependency among topics. ...
In this work, the topic-based interest profile is derived from the history queries of a user. However, as discussed in the paper, some users may not have abundant history queries. ...
doi:10.1145/2699666
fatcat:mqyhtqxykrdh3ktlfp7ntkgjzu
Web Document Clustering and Visualization Results of Semantic Web Search Engine Using V-Ranking
2011
Journal of clean energy technologies
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The similarity between two queries may be deduced from the common documents the users selected for them. ...
This paper describes a new Web Document Clustering method that makes use of user logs which allow identifying the documents the users have selected for a query. ...
Typically, a query session is made up of the query and the subsequent activities the user performed, which can be extracted from query logs. ...
doi:10.7763/ijcte.2011.v3.350
fatcat:dgfd4bvhyvbrrfzyhajqsqup7u
Supporting Complex Search Tasks
2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14
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These tasks often involve multiple search queries and can span multiple sessions. Current search systems do not provide adequate support for tackling these tasks. ...
In this paper, we propose methods to automatically mine search logs for tasks and build an association graph connecting multiple tasks together. ...
[28] presented a method to generate query suggestions by substituting the whole query or its sub phrases by new phrases collected from other searchers' querying behavior. ...
doi:10.1145/2661829.2661912
dblp:conf/cikm/AwadallahWPDW14
fatcat:bake2beaizakvicp53itvkz6fe
Learning Semantic Query Suggestions
[chapter]
2009
Lecture Notes in Computer Science
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We apply our method to the task of linking queries from real-world query logs (the transaction logs of the Netherlands Institute for Sound and Vision) to the DBpedia knowledge base. ...
We study the problem of semantic query suggestion, a special type of query transformation based on identifying semantic concepts contained in user queries. ...
As to related work on query suggestions, some approaches use query logs to determine which queries or which rewrites occur frequently [18] . ...
doi:10.1007/978-3-642-04930-9_27
fatcat:oc3vakbki5hw5pktxyh5ouqi2u
PLEDS: A Personalized Entity Detection System Based on Web Log Mining Techniques
2008
2008 The Ninth International Conference on Web-Age Information Management
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We developed PLEDS, a personalized entity detection system which identifies interesting entities and provides related information for individual users by mining web logs and query logs. ...
those phrases extracted from the global query logs. ...
To find currently trendy topics, PLEDS uses the mining results from a global query log in a search engine to identify the currently popular keywords. ...
doi:10.1109/waim.2008.62
dblp:conf/waim/TsoukalasZPC08
fatcat:2vqn4lk2vzau5l6bbfycbr36vq
Automatic Taxonomy Extraction from Query Logs with no Additional Sources of Information
[article]
2015
arXiv
pre-print
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Previous research has shown that it is possible to extract concept taxonomies from full text documents, while other scholars have proposed methods to obtain similar queries from query logs. ...
revealed from log missions, with no additional sources of information, and in a language independent way. ...
Method applied Our method relies on extracting pairs of terms or noun phrases from a series of query specialization patterns identified from topical query sessions. ...
arXiv:1510.00618v2
fatcat:wzofyyptene5voaj2d2nys6wwy
BUPT_WILDCAT at TREC 2011 Session Track
2011
Text Retrieval Conference
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This paper is an overview of the runs carried out at TREC 2011 Session track, which proposes several approaches to improve the retrieval performance over one session including the search model based on ...
user behavior, VSM_meta similarity model, optimization based on history ranked lists, optimization based on user"s attention time and anchor log. ...
The Anchor Log University of Essex developed a method for extracting useful terms and phrases to expand the reformulated query in Session Track 2010 [10] . ...
dblp:conf/trec/LiuZGXH11
fatcat:geabqvmllbawrjci3ksitgrxtm
Metacognition & conceptual drifting in interactive information retrieval: An exploratory field study
2011
Proceedings of the American Society for Information Science and Technology
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As the search flow moves from one focal point to the next, it forms second-order patterns of conceptual drifting. ...
This study investigates patterns of topical migration, specifically interactional dynamics of conceptual drifting and metacognition as counteracting forces, in interactive information retrieval. ...
The collected data included audio recordings of "think aloud" protocol, query logs captured with the Lemur Query Log Toolbar, and cognitive style tests using the instrument of Felder-Soloman Index of Learning ...
doi:10.1002/meet.2011.14504801065
fatcat:55cqvkpcbvg4fkzrt5giwp7i4y
Techniques for Deep Query Understanding
[article]
2015
arXiv
pre-print
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The report describes the complete architecture to handle aforementioned three tasks, and then discusses basic as well as recent advanced techniques for each of the component, through appropriate papers from ...
query. ...
Though queries of a given concept/topic are highly likely to be put consecutively but many sessions contains interleaved queries also, as stated by [8] . ...
arXiv:1505.05187v1
fatcat:o6zq43sspff6zgsn5fs2i25fe4
Searching by Talking
2016
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16
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In this paper, we examine the logs of a commercial search engine's mobile interface, and compare the spoken queries to the typed-in queries. ...
We also conduct an empirical evaluation showing that the language of voice queries is closer to natural language than typed queries. ...
Sessions A session is a series of queries issued by an individual user in close succession, often with all queries being related to the same topic. ...
doi:10.1145/2911451.2911525
dblp:conf/sigir/Guy16
fatcat:v5xmjuarsfarzgtyaaethgyp2e
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