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Aging effects on query flow graphs for query suggestion

Ranieri Baraglia, Carlos Castillo, Debora Donato, Franco Maria Nardini, Raffaele Perego, Fabrizio Silvestri
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
A recent query-log mining approach for query recommendation is based on Query Flow Graphs (QFG). In this paper we propose an evaluation of the effects of time on this query recommendation model.  ...  Each query flow graph is built on distinct query log segments. Then, we generate recommendations on different sets of queries.  ...  EVALUATING THE AGING EFFECT The main goal of this paper is to show that time has some negative effects on the quality of query suggestions generated by QFG-based models.  ... 
doi:10.1145/1645953.1646272 dblp:conf/cikm/BaragliaCDNPS09 fatcat:nvb34hcebnhpnoubbm6f4nzify

A Survey on Query Suggestion

Lingling Meng
2014 International Journal of Hybrid Information Technology  
Based on Chien's work, Zhang [76] considered the factor of significant time interval for query suggestion.  ...  Usually it is based on the unique characteristics of queries to find the relations and construct models. Various kinds of methods have been proposed for generating query suggestions.  ...  They thus modeled query suggestions as shortcut links on a query-flow graph and considered the resulted graph as a perturbed version of the original one.  ... 
doi:10.14257/ijhit.2014.7.6.04 fatcat:wyno36a6yfdo3pnhgz2exzbbmu

Query Recommendation for Long Tail Queries-A Review Paper

Anand PrasadGupta, Sunita Yadav
2012 International Journal of Computer Applications  
Large volume of queries over large volume of users allows search engine to build methods for generating query suggestion for input query.  ...  Query recommendation methods are powerful technique to generate related queries or alternate queries as a query suggestion for original query which is given by user in the search engine first time.  ...  Query recommendation based on query flow graph is based on query log and only support suggestion for seen queries. It is not effective for unseen queries.  ... 
doi:10.5120/4880-7315 fatcat:novefvdflbaotiw6xfyo6key5m

Design and Architecture for Web Graph Mining Base Recommender System for Query, Image and Social Network using Query Suggestion Algorithm and Heat Diffusion Method

Asst. Prof. Sonal Patil, Ankush Mahajan
2014 IOSR Journal of Computer Engineering  
In this paper, We are discussing a general framework on Web graphs mining based recommender system for Query, Image-tags and Social Network using Query Suggestion Algorithm and Heat Diffusion Method 1)  ...  , etc. it is not important that what kind of data sources are used for the recommendations, these data sources can be modeled or taken in the various types of graphs.  ...  In this paper we will see the architecture and the visual models of the web graph mining base recommender system which works for the query, image-tags and social network using query suggestion and heat  ... 
doi:10.9790/0661-16181623 fatcat:tfkznolrcje3jifiqj3z56ba6a

Learning from users' querying experience on intranets

Ibrahim Adepoju Adeyanju, Dawei Song, M-Dyaa Albakour, Udo Kruschwitz, Anne De Roeck, Maria Fasli
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
Query recommendation is becoming a common feature of web search engines especially those for Intranets where the context is more restrictive.  ...  This is because of its utility for supporting users to find relevant information in less time by  ...  Acknowledgements This research is part of the AutoAdapt research project. AutoAdapt is funded by EPSRC grants EP/F035357/1 and EP/F035705/1.  ... 
doi:10.1145/2187980.2188197 dblp:conf/www/AdeyanjuSAKRF12 fatcat:o6zwhm5unver7lyq3n5vrmboem

Mining Web Graphs for Recommendations

Hao Ma, Irwin King, Michael R. Lyu
2012 IEEE Transactions on Knowledge and Data Engineering  
No matter what types of data sources are used for the recommendations, essentially these data sources can be modeled in the form of various types of graphs.  ...  Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc.  ...  ACKNOWLEDGMENTS The work described in this paper was fully supported by two grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No.  ... 
doi:10.1109/tkde.2011.18 fatcat:wv56jllhzbhrtb3gxkbnxdt4ze

Efficient query recommendations in the long tail via center-piece subgraphs

Francesco Bonchi, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
We present a recommendation method based on the wellknown concept of center-piece subgraph, that allows for the time/space efficient generation of suggestions also for rare, i.e., long-tail queries.  ...  The method is based on a graph having term nodes, query nodes, and two kinds of connections: term-query and query-query.  ...  Boldi et al. introduce the Query Flow Graph [4] (QFG) model, which is a Markov chain-based representation of a query log.  ... 
doi:10.1145/2348283.2348332 dblp:conf/sigir/BonchiPSVV12 fatcat:6yjh6rgx7zfx3g3yssehij7sum

Enriching Query Flow Graphs with Click Information [chapter]

M-Dyaa Albakour, Udo Kruschwitz, Ibrahim Adeyanju, Dawei Song, Maria Fasli, Anne De Roeck
2011 Lecture Notes in Computer Science  
We propose a method of adjusting the weights on the edges of the query flow graph by incorporating the number of clicked documents after submitting a query.  ...  Click information provides evidence of the success or failure of the search journey and therefore can be used to enrich the query flow graph to make it more accurate and useful for query recommendation  ...  This research is part of the AutoAdapt 3 research project. AutoAdapt is funded by EPSRC grants EP/F035357/1 and EP/F035705/1.  ... 
doi:10.1007/978-3-642-25631-8_18 fatcat:n4pcjcfvc5b6tce7izvyqtfcoa

Adaptation of the concept hierarchy model with search logs for query recommendation on intranets

Ibrahim Adepoju Adeyanju, Dawei Song, M-Dyaa Albakour, Udo Kruschwitz, Anne De Roeck, Maria Fasli
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
Our adaptive model significantly outperforms its static version and the query flow graph when tested over a period of time on data (documents and search logs) from two institutions' Intranets.  ...  , the Query Flow Graph, built from the same logs.  ...  Acknowledgements This work is part of the AutoAdapt research project funded by EPSRC grants EP/F035357/1 and EP/F035705/1.  ... 
doi:10.1145/2348283.2348288 dblp:conf/sigir/AdeyanjuSAKRF12 fatcat:dnmtvt4n3vfbnoqs2mjhnwc67m

Incremental Algorithms for Effective and Efficient Query Recommendation [chapter]

Daniele Broccolo, Ophir Frieder, Franco Maria Nardini, Raffaele Perego, Fabrizio Silvestri
2010 Lecture Notes in Computer Science  
We study query recommender algorithms that generate suggestions on the basis of models that are updated continuously, each time a new query is submitted.  ...  Most query recommenders are based on static knowledge models built on the basis of past user behaviors recorded in query logs.  ...  The method is based on the concept of cover graph.  ... 
doi:10.1007/978-3-642-16321-0_2 fatcat:qp4bvi3p4jentn6gxdijboblpe

Generating suggestions for queries in the long tail with an inverted index

Daniele Broccolo, Lorenzo Marcon, Franco Maria Nardini, Raffaele Perego, Fabrizio Silvestri
2012 Information Processing & Management  
Thus, it is particularly effective in generating suggestions for rare queries occurring in the long tail of the query popularity distribution.  ...  The quality of suggestions generated is assessed by evaluating the effectiveness in forecasting the users' behavior recorded in historical query logs, and on the basis of the results of a reproducible  ...  The authors refine the previous studies in (Boldi et al., 2009a) and (Boldi et al., 2009b) where a query suggestion scheme based on a random walk with restart model on the Query Flow Graph is proposed  ... 
doi:10.1016/j.ipm.2011.07.005 fatcat:pl7y2q3d4ngw5mo4kt2rtsxqae

Query suggestion by constructing term-transition graphs

Yang Song, Dengyong Zhou, Li-wei He
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
In the first topic-based unsupervised Pagerank model, we perform random walk on each of the topic-based term-transition graph and calculate the Pagerank for each term within a topic.  ...  We build a termtransition graph based on the mined data. Two models are proposed which address topic-level and term-level query suggestions, respectively.  ...  For example, depending on the underlying algorithms, query suggestion techniques can be categorized into graph-based models (e.g., random walk on click graphs) [16, 7] and probabilistic models (e.g.,  ... 
doi:10.1145/2124295.2124339 dblp:conf/wsdm/SongZH12 fatcat:biv2kjqwhzcxrgtnb7cme663lm

KB-Enabled Query Recommendation for Long-Tail Queries

Zhipeng Huang, Bogdan Cautis, Reynold Cheng, Yudian Zheng
2016 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16  
We extract entities from a query, and use these entities to explore new ones in the KB. Those discovered entities are then used to suggest new queries to the user.  ...  To handle such queries, we study a new solution, which makes use of a knowledge base (or KB), such as YAGO and Freebase.  ...  We would like to thank the reviewers for their insightful comments.  ... 
doi:10.1145/2983323.2983650 dblp:conf/cikm/HuangCCZ16 fatcat:vnf55xx7yngspfoc35ptzjyqku

Mining, Ranking and Recommending Entity Aspects

Ridho Reinanda, Edgar Meij, Maarten de Rijke
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
As an additional experiment, we utilize entity aspects for actual query recommendation and find that our approach improves the effectiveness of query recommendations built on top of the query-flow graph  ...  We find that entropy-based methods achieve the best performance compared to maximum likelihood and language modeling approaches.  ...  The behavioral approach is based on the "flow" of aspect transitions in actual user sessions, modeled using an adapted version of the query-flow graph [5, 6, 34] .  ... 
doi:10.1145/2766462.2767724 dblp:conf/sigir/ReinandaMR15 fatcat:z23qpoe4zzgrrk5ekjnlvchrse

Learning Better Representations for Neural Information Retrieval with Graph Information

Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma
2020 Proceedings of the 29th ACM International Conference on Information & Knowledge Management  
However, most of these retrieval models focus on capturing the textual matching signals between query and document but do not consider user behavior information that may be helpful for the retrieval task  ...  the effectiveness of integrating graph information with textual information.  ...  All content represents the opinion of the authors, which is not necessarily shared or endorsed by their respective employers and/or sponsors.  ... 
doi:10.1145/3340531.3411957 dblp:conf/cikm/LiR0MM0M20 fatcat:vurrhgyzpzau5epajhzyz5524a
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