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Query Phrase Suggestion from Topically Tagged Session Logs [chapter]

Eric C. Jensen, Steven M. Beitzel, Abdur Chowdhury, Ophir Frieder
2006 Lecture Notes in Computer Science  
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

Lidong Bing, Wai Lam, Tak-Lam Wong
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
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

Paul N. Bennett, Ryen W. White
2015 Text Retrieval Conference  
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

J. R. Herskovic, L. Y. Tanaka, W. Hersh, E. V. Bernstam
2007 JAMIA Journal of the American Medical Informatics Association  
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

Ting-Xuan Wang, Wen-Hsiang Lu
2016 International Journal of Computational Linguistics and Chinese Language Processing  
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

Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel
2015 ACM Transactions on Information Systems  
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

S. K. Jayanthi, S. Prema
2011 Journal of clean energy technologies  
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

Ahmed Hassan Awadallah, Ryen W. White, Patrick Pantel, Susan T. Dumais, Yi-Min Wang
2014 Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14  
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]

Edgar Meij, Marc Bron, Laura Hollink, Bouke Huurnink, Maarten de Rijke
2009 Lecture Notes in Computer Science  
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

Kathleen Tsoukalas, Bin Zhou, Jian Pei, Davor Cubranic
2008 2008 The Ninth International Conference on Web-Age Information Management  
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]

Miguel Fernandez-Fernandez, Daniel Gayo-Avello
2015 arXiv   pre-print
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

Tang Liu, Chunag Zhang, Yasi Gao, Wenjun Xiao, Hao Huang
2011 Text Retrieval Conference  
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

Geoffrey Z. Liu, Steven S. Chong
2011 Proceedings of the American Society for Information Science and Technology  
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]

Abhay Prakash, Dhaval Patel
2015 arXiv   pre-print
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

Ido Guy
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
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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