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Recommendations for the long tail by term-query graph

Francesco Bonchi, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini
2011 Proceedings of the 20th international conference companion on World wide web - WWW '11  
In particular, our main goal is to design a model enabling the generation of query suggestions also for rare and previously unseen queries. In other words we are targeting queries in the long tail.  ...  The model is based on a graph having two sets of nodes: Term nodes, and Query nodes.  ...  Acknowledgement This research has been partially funded by the EU CIP PSP-BPN ASSETS Project. Grant Agreement no. 250527.  ... 
doi:10.1145/1963192.1963201 dblp:conf/www/BonchiPSVV11 fatcat:tpelgmexqndppdgcxftmdg3zrq

Query Recommendation for Long Tail Queries-A Review Paper

Anand PrasadGupta, Sunita Yadav
2012 International Journal of Computer Applications  
In this review paper we discussed about query recommendation methods and comparison between different methods how the query suggestion is given by these methods for the input query by user in search engine  ...  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.  ...  Based on Term-Query Graph After studying the algorithm of term-query graph we find that recommendation based on term query graph improves the recommendation for long tail or rare queries not only dependent  ... 
doi:10.5120/4880-7315 fatcat:novefvdflbaotiw6xfyo6key5m

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  
As shown in our experiments, our approach provides better recommendation results for long-tail queries than existing solutions.  ...  Most of these solutions, which perform extensive analysis of users' search history (or query logs), are largely insufficient for long-tail queries that rarely appear in query logs.  ...  We would like to thank the reviewers for their insightful comments.  ... 
doi:10.1145/2983323.2983650 dblp:conf/cikm/HuangCCZ16 fatcat:vnf55xx7yngspfoc35ptzjyqku

Improving recommendation for long-tail queries via templates

Idan Szpektor, Aristides Gionis, Yoelle Maarek
2011 Proceedings of the 20th international conference on World wide web - WWW '11  
We propose a method to extend the reach of query assistance techniques (and in particular query recommendation) to long-tail queries by reasoning about rules between query templates rather than individual  ...  Furthermore, for 36% of the 95M queries in our query flow graph, which have no out edges and thus could not be served recommendations, we can now offer at least one recommendation in 98% of the cases.  ...  query-flow graph construct consistently improves the quality of recommendations, especially for long-tail queries.  ... 
doi:10.1145/1963405.1963416 dblp:conf/www/SzpektorGM11 fatcat:gsq7jtw4yndhtpyz4oyzhmhvmq

Challenging the Long Tail Recommendation [article]

Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen
2012 arXiv   pre-print
In this paper, we propose a novel suite of graph-based algorithms for the long tail recommendation.  ...  We first represent user-item information with undirected edge-weighted graph and investigate the theoretical foundation of applying Hitting Time algorithm for long tail item recommendation.  ...  One alternative is to apply p q,j to find the most relevant node j for the query node q on the graph. But this method can not challenge the long tail recommendation.  ... 
arXiv:1205.6700v1 fatcat:g7muxhiynfaqbdaltvikyrycc4

Challenging the long tail recommendation

Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen
2012 Proceedings of the VLDB Endowment  
In this paper, we propose a novel suite of graph-based algorithms for the long tail recommendation.  ...  We first represent user-item information with undirected edge-weighted graph and investigate the theoretical foundation of applying Hitting Time algorithm for long tail item recommendation.  ...  One alternative is to apply pq,j to find the most relevant node j for the query node q on the graph. But this method can not challenge the long tail recommendation.  ... 
doi:10.14778/2311906.2311916 fatcat:oyeajyxnbraw3elpxbgbwvwxl4

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.  ...  On such large graph we need to compute the center-piece subgraph induced by terms contained into queries.  ...  A totally orthogonal proposal to deal with query recommendations for long-tail queries has recently been presented by Szpektor et al. [15] .  ... 
doi:10.1145/2348283.2348332 dblp:conf/sigir/BonchiPSVV12 fatcat:6yjh6rgx7zfx3g3yssehij7sum

Orthogonal query recommendation

Hossein Vahabi, Margareta Ackerman, David Loker, Ricardo Baeza-Yates, Alejandro Lopez-Ortiz
2013 Proceedings of the 7th ACM conference on Recommender systems - RecSys '13  
By using this technique to generate query recommendations, we outperform several known approaches, being the best for long tail queries.  ...  These techniques search for queries that are semantically similar to the user's original query, often searching for keywords that are similar to the keywords given by the user.  ...  Also, orthogonal query recommendation is shown to be the best technique for long tail queries, performing better than all previous techniques considered.  ... 
doi:10.1145/2507157.2507159 dblp:conf/recsys/VahabiALBL13 fatcat:fidf4repwbauxnil4lyccp2com

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba [article]

Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen
2021 arXiv   pre-print
Specifically, We propose a framework called AliCG which is capable of a) extracting fine-grained concepts by a novel bootstrapping with alignment consensus approach, b) mining long-tail concepts with a  ...  In this paper, we introduce an approach to implementing and deploying the conceptual graph at Alibaba.  ...  The recommendations are obtained without the conceptual graph for one bucket and with the conceptual graph for the other bucket.  ... 
arXiv:2106.01686v2 fatcat:ahae7tr745bargo5c2ipxohorq

Ranking objects by following paths in entity-relationship graphs

Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
2011 Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management - PIKM '11  
By selecting schema-level paths and following them in an entity-relationship graph, it can incorporate diverse semantics existing in the graph.  ...  In this paper, we propose an object ranking method for search and recommendation.  ...  It gives a guideline to follow the graph. By walking through the graph with the schema paths, the system ranks objects for search or recommendation tasks.  ... 
doi:10.1145/2065003.2065008 dblp:conf/cikm/KahngLL11 fatcat:4wcmav3esbdfxlwh6uvhhplzum

Query suggestion using hitting time

Qiaozhu Mei, Dengyong Zhou, Kenneth Church
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
The proposed algorithm and its variations can successfully boost long tail queries, accommodating personalized query suggestion, as well as finding related authors in research.  ...  In this work, we propose a novel query suggestion algorithm based on ranking queries with the hitting time on a large scale bipartite graph.  ...  All such queries are "long tail" queries in search business.  ... 
doi:10.1145/1458082.1458145 dblp:conf/cikm/MeiZC08 fatcat:fxzg6tpu35czxe4is5byo7r4ma

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 resulting query recommendation technique is very efficient and scalable, and is less affected by the data-sparsity problem than most state-of-the-art proposals.  ...  Therefore we can generate suggestions for queries in the long tail of the distribution whose terms have some context in the query log used to build the model.  ... 
doi:10.1016/j.ipm.2011.07.005 fatcat:pl7y2q3d4ngw5mo4kt2rtsxqae

A unified framework for recommending diverse and relevant queries

Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Hua-Wei Shen
2011 Proceedings of the 20th international conference on World wide web - WWW '11  
By turning ranked queries into stop points on the query manifold, our approach can generate query recommendations by simultaneously considering both diversity and relevance in a unified way.  ...  We propose a unified model, named manifold ranking with stop points, for query recommendation.  ...  Hitting time obtains better diversity by boosting the long tail queries for recommendation, but the improvement is limited.  ... 
doi:10.1145/1963405.1963415 dblp:conf/www/ZhuGCDS11 fatcat:hin4sd7npzdxfnsijc3af2l37u

Query Suggestion and Recommendation Using Bipartite Graph and K-Means Clustering
IJARCCE - Computer and Communication Engineering

Dr. E.S. SAMUNDEESWARI, BRINDHA S
2014 IJARCCE  
out query suggestion and recommends query and URL"s using Bipartite graph and Kmeans clustering.  ...  Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc., The proposed work carries  ...  The suggestions generated do not have to occur with the original query. 3. This approach boosts the long tail queries as suggestions. 4.  ... 
doi:10.17148/ijarcce.2014.31137 fatcat:znxk3mwojjhnxb2qlibfa2imjq

Retrieval, Crawling and Fusion of Entity-centric Data on the Web [chapter]

Stefan Dietze
2017 Lecture Notes in Computer Science  
graphs and linked data.  ...  Future directions are concerned with the exploitation of the complementary nature of markup data and traditional knowledge graphs.  ...  While all discussed works are joint research with numerous colleagues, friends and collaborators from a number of research institutions, the author would like to thank all involved researchers for the  ... 
doi:10.1007/978-3-319-53640-8_1 fatcat:bilhfrwhgvgwnfm3wub4g55lr4
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