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Query clustering using user logs

Ji-Rong Wen, Jian-Yun Nie, Hong-Jiang Zhang
2002 ACM Transactions on Information Systems  
This paper describes a new query clustering method that makes use of user logs which allow us to identify the documents the users have selected for a query.  ...  Our experiments show that a combination of both keywords and user logs is better than using either method alone.  ...  ACKNOWLEDGMENTS The authors would like to thank Jon Rosenberg, Kevin Cretin, Bob O'Brien and Harish Jayanti of the Microsoft Encarta group for providing us with the data and giving us much helpful feedback  ... 
doi:10.1145/503104.503108 fatcat:rrsc54qtwjaalh3hrvfzashfhe

Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan [article]

Shohei Hisada, Taichi Murayama, Kota Tsubouchi, Sumio Fujita, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
2020 arXiv   pre-print
To capture the clusters, this study employs Web search query logs and user location information from smartphones.  ...  [Material and Methods] First, we anonymously identified smartphone users who used a Web search engine (Yahoo!  ...  Infection suspecting searcher identification using web search query logs We leveraged the search logs on all devices from Yahoo! Japan Search ?  ... 
arXiv:2004.10100v1 fatcat:e2ev3ugx55gwdowvwyp3q574hy

Effective anonymization of query logs

Yuan Hong, Xiaoyun He, Jaideep Vaidya, Nabil Adam, Vijayalakshmi Atluri
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
User search query logs have proven to be very useful, but have vast potential for misuse.  ...  Query logs are different in several important aspects, such as the diversity of queries and the causes of privacy breach.  ...  CONCLUSIONS AND FUTURE WORK Web search query logs of users have a number of uses including user behavior analysis, query characterization, among others.  ... 
doi:10.1145/1645953.1646146 dblp:conf/cikm/HongHVAA09 fatcat:gacs25iusjd5xayusd2bhbnw7a

Semantic Microaggregation for the Anonymization of Query Logs [chapter]

Arnau Erola, Jordi Castellà-Roca, Guillermo Navarro-Arribas, Vicenç Torra
2010 Lecture Notes in Computer Science  
Web search engines gather information from the queries performed by the user in the form of query logs.  ...  We provide a novel approach to anonymize query logs so they ensure user k-anonymity, by extending a common method used in statistical disclosure control: microaggregation.  ...  If the users in the same cluster do not share any interest, the protected query logs can be useless, that is, the resulting search logs are too much distorted and we cannot obtain useful information from  ... 
doi:10.1007/978-3-642-15838-4_12 fatcat:mdipo2ifnfattcvuwy3sey3jb4

Incorporating variability in user behavior into systems based evaluation

Ben Carterette, Evangelos Kanoulas, Emine Yilmaz
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
We show how to cluster posterior distributions to discover patterns of user interactions in logs, and discuss how to use the clusters to evaluate search engines according to a user model.  ...  We present a Bayesian approach to using logs to compute posterior distributions for probabilistic models of user interactions.  ...  CLUSTERING PROFILES Clustering query logs is useful for discovering patterns in the ways users are interacting with an engine.  ... 
doi:10.1145/2396761.2396782 dblp:conf/cikm/CarteretteKY12 fatcat:j7can6yxijeffaoui2d74bcij4

Design of Query Suggestion using Rank Updater
English

Rek ha, Sushil Kumar
2014 International Journal of Computer Trends and Technology  
For this, the technology used for allowing query recommendations is query log which contains attributes like query name, clicked URL, rank, time.  ...  In this work, an algorithm has been applied to recommend related queries to a query submitted by user.  ...  Clustering tool In support of the clustering process, this tool is used to cluster user queries using query clustering tool built by search en-gines and for this it assigns query cluster database log entries  ... 
doi:10.14445/22312803/ijctt-v11p147 fatcat:33evbij4j5aq7b6c2jeopjpzrq

Using ephemeral clustering and query logs to organize web image search results on mobile devices

Jose G. Moreno, Gaël Dias
2011 Proceedings of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices - IMMPD '11  
For that purpose, we suggest to expand the original query based on labels of Ephemeral Clusters and compare it to a Query Log based approach.  ...  In this paper, we present two different strategies to cluster results gathered from an image search engine and propose an adapted interface for handled devices.  ...  Ephemeral clustering showed more compact results compared to Query Logs, but Query Logs evidenced better user acceptance rates.  ... 
doi:10.1145/2072561.2072571 dblp:conf/mm/MorenoD11 fatcat:uy4idy4rwfdb5mnhwlabp6xsha

Learn from web search logs to organize search results

Xuanhui Wang, ChengXiang Zhai
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
cluster labels using past query words entered by users.  ...  (2) the cluster labels generated are not informative enough to allow a user to identify the right cluster.  ...  Second, we will generate more meaningful cluster labels using past query words entered by users.  ... 
doi:10.1145/1277741.1277759 dblp:conf/sigir/WangZ07 fatcat:gxuslbxowjdtxnuycx7444qgou

Temporal Dynamics of User Interests in Web Search Queries

Aysegul Cayci, Selcuk Sumengen, Cagatay Turkay, Selim Balcisoy, Yucel Saygin
2009 2009 International Conference on Advanced Information Networking and Applications Workshops  
query log.  ...  Anticipating that the small number of query terms used in search queries would not be sufficient to obtain a proper clustering scheme, we extracted the summary content of the clicked web page from the  ...  As an alternative, the contents of the web pages related to user interests can be extracted from the query log by using the related query keywords.  ... 
doi:10.1109/waina.2009.71 dblp:conf/aina/CayciSTBS09 fatcat:jgl2okl32vaerpfl4c5y2iltma

A Survey on Feedback Session for Inferring User Search Query with CAP

2016 International Journal of Science and Research (IJSR)  
to infer user search goals by analyzing search engine queries. we propose 2 different framework .first we propose framework to find out different user search information for user query by using clustering  ...  Using pseudo document the feedback session are represented .second method to generate pseudo document to represent the feedback sessions for clustering .for pseudo document clustering we use k-means clustering  ...  By using session the user search engine logs separated. Session consist a single user query and all user URL"s. Study query determination from fixed click graph.  ... 
doi:10.21275/v5i1.nov152863 fatcat:bsipuv6kdrbjdjn5sikblsv5ki

Query clustering using content words and user feedback

Ji-Rong Wen, Jian-Yun Nie, Hong-Jiang Zhang
2001 Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '01  
This paper describes our attempt to cluster similar queries according to their contents as well as the document click information in the user logs.  ...  Due to the short length of queries, the traditional approaches based on keywords are not suitable for query clustering.  ...  Therefore, a clustering approach using solely the keywords in queries will not be effective. In this paper, we propose a new approach to query clustering using user logs.  ... 
doi:10.1145/383952.384083 dblp:conf/sigir/WenZN01 fatcat:ltxwmswq7bcvnak32riiatuhp4

Query Recommendation for Optimizing the Search Engine Results

Nikita Taneja, Rachna Chaudhary
2012 International Journal of Computer Applications  
For this, the technology used for allowing query recommendations is query log which contains attributes like query name, clicked URL, rank, time.  ...  The proposed system here, is based on learning from query logs that predicts user information requirements and reduces the seek time of the user within the search result list.  ...  Query Log 2. Query Similarity 3. Query Clustering Tool 4.  ... 
doi:10.5120/7832-1096 fatcat:xk4t7mto65bovcvrp3mfdr2b54

A Survey On: Inferring User Search Goals Engine Through Image Click Through Data

B. Prof.Agale Deepali, M. Prof.Aher Shital
2018 Zenodo  
To infer user search goals by analyzing search engine query logs a novel approach is proposed.  ...  First, we propose a framework to find out different user search goals for a query by clustering the proposed feedback sessions.  ...  ACKNOWLEDGMENT We thankful to all our collogues for directly or indirectly supporting us for selecting such topic..  ... 
doi:10.5281/zenodo.1413055 fatcat:dstvp647djdbjdcpno6lnqxy5u

A New Algorithm for Inferring User Search Goals with Feedback Sessions

Bhushan Thakare, Rohan Rawlani, Sahil Pathak, Dipali Salve, Ritesh Natekar
2015 International Journal of Computer Applications  
In this paper, we propose a novel approach to infer user search goals by analyzing search engine query logs.  ...  First, we propose a framework to discover different user search goals for a query by clustering the proposed feedback sessions.  ...  For example, in, the query "car" is clustered with some other queries, such as "car rental," "used car," "car crash," and "car audio."  ... 
doi:10.5120/20812-3099 fatcat:aguk23aopbetbencwigc5hjc34

Predicting implicit search behaviors usinglog analysis

L LeemaPriyadharshini, S Florence, K Prema, C Shyamala Kumari
2018 International Journal of Engineering & Technology  
The web search log is nothing but the log which contains the user searching activities and other details like machine ID, browser ID, timestamp, query given by the user, URL accessed etc., four things  ...  considered as the important: 1) Extraction of tasks from the sequence of queries given by the user 2) suggesting some similar query to the user 3) ranking URLs based on the implicit user behaviors 4) increasing  ...  Clustering queries into task A web search log contains a set of users, and each user has the sequence of consecutive activities.  ... 
doi:10.14419/ijet.v7i1.7.9582 fatcat:x5bzqwhu4vdi7osarrvid3bisy
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