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Mining and ranking users' intents behind queries

Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren
2015 Information retrieval (Boston)  
In this paper, we address the NTCIR-11 IMine task with two phases referred to as Query Intent Mining (QIM) and Query Intent Ranking (QIR).  ...  (I) QIM is intended to mine users' potential intents by clustering short text fragments related to the given query. (II) QIR focuses on ranking those mined intents in a proper way.  ...  Our efforts are made in two phases: (I) Query Intent Mining (QIM) and (II) Query Intent Ranking (QIR).  ... 
doi:10.1007/s10791-015-9271-1 fatcat:px3sb2gvizfgdodakgsstszgui

Improving search relevance for short queries in community question answering

Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
In this paper, we mine different types of user intent from various sources for short queries. With these intent signals, we propose a new intent-based language model.  ...  Relevant question retrieval and ranking is a typical task in community question answering (CQA). Existing methods mainly focus on long and syntactically structured queries.  ...  We mine user intent from a query log of a commercial search engine. Specifically, we employ the method proposed by Hu, et al. [13] and represent search intent behind short queries with subtopics.  ... 
doi:10.1145/2556195.2556239 dblp:conf/wsdm/WuWZCDS14 fatcat:qcgoeb3ulbdgvlyvcd3tonlapi

SogouQ: The First Large-Scale Test Collection with Click Streams Used in a Shared-Task Evaluation [chapter]

Ruihua Song, Min Zhang, Cheng Luo, Tetsuya Sakai, Yiqun Liu, Zhicheng Dou
2020 Evaluating Information Retrieval and Access Tasks  
In this chapter, we will introduce a real Chinese query log dataset, SogouQ, which was released by SogouQ corporation in 2010 for the NTCIR-9 Intent task.  ...  It is the first large-scale query logs used in a shared-task evaluation (i.e., the NTCIR tasks).  ...  SogouQ and NTCIR Tasks The NTCIR-9 Intent task comprises the Subtopic Mining subtask (given a query, output a ranked list of possible subtopic strings) and the Document Ranking subtask (given a query,  ... 
doi:10.1007/978-981-15-5554-1_10 fatcat:4xvy3tudt5cpvolzpefvjik63a

Issues and Challenges of User Intent Discovery (UID) during Web Search

Wael K. Hanna, Aziza S. Aseem, M. B. Senousy
2015 International Journal of Information Technology and Computer Science  
and how to discover the users' intentions during the web search.  ...  The objective of this paper is to present the challenges and new research trends in understanding the user behavior and discovering the user intent to improve the quality of search engine results and to  ...  Cristina and Ricardo [1] analyzed the impact of the query intent in the search behavior of the users. They proposed a method to identify automatically the intent behind user queries.  ... 
doi:10.5815/ijitcs.2015.07.08 fatcat:zhbrnkbkzngtbn5lz442n4j46e

Understanding Users Intent by Deducing Domain Knowledge Hidden in Web Search Query Keywords

Nachiket BhagwantKamat, Geeta Varkey
2013 International Journal of Computer Applications  
The domain knowledge and query expansion helps retrieve high quality results, specific to the user's intent.  ...  Users tend to browse only few pages. Improving quality of retrieved results is a challenge and needs research.  ...  Query logs [6] only show the recorded actions and not the intent behind the queries.  ... 
doi:10.5120/11471-7080 fatcat:jak4yxwk7fbqfkgczspdjswygm

Improving search relevance for implicitly temporal queries

Donald Metzler, Rosie Jones, Fuchun Peng, Ruiqiang Zhang
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
Rather than solving the general problem of automatically determining user intent, we focus on queries that have a temporally dependent intent.  ...  However, since the user only entered a couple of keywords, it may be difficult to accurately determine which of these implicit intents the user actually meant.  ... 
doi:10.1145/1571941.1572085 dblp:conf/sigir/MetzlerJPZ09 fatcat:qbrcid2wzbcmji7agvhnzomzda

Modeling User Behavior for Vertical Search: Images, Apps and Products

Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
2020 Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval  
The bulk of the tutorial is devoted to covering research into behavior patterns, user behavior models and applications of user behavior data to refine evaluation metrics and ranking models for web-based  ...  This tutorial will introduce the research and applications of user behavior modeling for vertical search.  ...  User behavior data has been successfully adopted to improve general Web searches in result ranking, query suggestion, query auto completion, etc.  ... 
doi:10.1145/3397271.3401423 dblp:conf/sigir/XieMLR20 fatcat:z35tthfo7vcypjxdgnhld5iskq

User Intent Discovery using Analysis of Browsing History

Wael K., Aziza S., Mohammed Badr
2016 International Journal of Advanced Computer Science and Applications  
Upon clustering the query categories, groups, and intent segments search engines can improve the representation of users' search context behind the current query, this would help search engines to discover  ...  The search engine can retrieve the information from the web by using keyword queries. The responsibility of search engines is getting the relevant results that met with users' search intents.  ...  This categorizing and grouping and intent segmentation information can improve the representation of users" search context behind the current query, this would help search engines to discover the user"s  ... 
doi:10.14569/ijacsa.2016.071015 fatcat:czljdjpjtzhubhlbxdagd4pqcq

Improve Web Search Diversification with Intent Subtopic Mining [chapter]

Aymeric Damien, Min Zhang, Yiqun Liu, Shaoping Ma
2013 Communications in Computer and Information Science  
A number of search user behavior studies show that queries with unclear intents are commonly submitted to search engines.  ...  The system developed with the proposed techniques also achieved the best English subtopic mining performance in NTCIR-10 intent task.  ...  At last, in this paper, we only focused on sub-intent extraction, clustering and ranking.  ... 
doi:10.1007/978-3-642-41644-6_30 fatcat:66wg6p6gsbe53o6i45ch6sdqh4

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  
In this paper we focus on the tasks of identifying, ranking, and recommending entity aspects, and propose an approach that mines, clusters, and ranks such aspects from query logs.  ...  In the aspect ranking task, we aim to satisfy most users' entity queries, and evaluate this task in a queryindependent fashion.  ...  Intent mining deals with identifying clusters of synonymous or strongly related queries based on intents, which are typically defined as "the need behind a query."  ... 
doi:10.1145/2766462.2767724 dblp:conf/sigir/ReinandaMR15 fatcat:z23qpoe4zzgrrk5ekjnlvchrse

A Novel Page Ranking Algorithm for a Personalized Web Search

Mohammed
2012 Journal of Computer Science  
Conclusion: The proposed method can yield preferred results since it considers both the User Interest Score and Term Frequency and Inverse Document Frequency (TF-IDF) for re-ranking.  ...  Today, traditional search engines provide results mainly based on the user's query. Though the context of the query varies, the returned result seems to be same for all users.  ...  However, the search results acquired might not always be helpful to the users, as search engine fails to recognize the user intention behind the query.  ... 
doi:10.3844/jcssp.2012.1029.1035 fatcat:knruq53ryzdiregzdeq3a2xn2q

A Bipartite Graph-Based Ranking Approach to Query Subtopics Diversification Focused on Word Embedding Features

Md Zia ULLAH, Masaki AONO
2016 IEICE transactions on information and systems  
Web search queries are usually vague, ambiguous, or tend to have multiple intents. Users have different search intents while issuing the same query.  ...  Therefore, identifying the subtopics covering possible intents behind a query is a formidable task.  ...  We thank the anonymous reviewers for their constructive and insightful comments.  ... 
doi:10.1587/transinf.2016edp7190 fatcat:2oi4k3w7n5fabnkzsjrxzp4mue

Personalized Mobile Web Search Techniques

Disha Gupta, Nekita Chavhan
2014 International Journal of Scientific and Engineering Research  
However, the ambiguity in queries and presence of noise hampers the performance of traditional search engines. They provide similar results to all users, irrespective of their context.  ...  Thus users require additional effort and time for getting relevant results. In addition to this, the constraints associated with mobile devices pose new challenges for mobile search.  ...  Hence, though different users submit same query with different intentions they get to view the results in same order.  ... 
doi:10.14299/ijser.2013.11.001 fatcat:yq6kylys3za2jnivnuqxuusqoy

Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges

Ayesha Rashid, Muhammad Shoaib Farooq, Adnan Abid, Tariq Umer, Ali Kashif Bashir, Yousaf Bin Zikria
2021 Complex & Intelligent Systems  
AbstractIntention mining is a promising research area of data mining that aims to determine end-users' intentions from their past activities stored in the logs, which note users' interaction with the system  ...  Search engines are a major source to infer users' past searching activities to predict their intention, facilitating the vendors and manufacturers to present their products to the user in a promising manner  ...  The ranking model for user intent [53] exploits user feedback in terms of click data to cluster ranking model for historic queries according to user intent.  ... 
doi:10.1007/s40747-021-00342-9 fatcat:ak3y4ao2sbffjd5b3rbttidvjy

Exploring features for the automatic identification of user goals in web search

Mauro Rojas Herrera, Edleno Silva de Moura, Marco Cristo, Thomaz Philippe Silva, Altigran Soares da Silva
2010 Information Processing & Management  
We propose an approach for the effective result of an ambiguous query by forming community vectors based on association concept of data mining using vector space model and the freedictionary.  ...  Search engine returns thousands of web pages for a single user query, in which most of them are not relevant.  ...  ACKNOWLEDGMENT We are thankful to Bharat Deshpande and our colleagues Aruna Govada and K.V. Santhilata for their useful discussions and valuable suggestions.  ... 
doi:10.1016/j.ipm.2009.09.003 fatcat:uhojt3cdp5d37h5vcmm6fxbdoi
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