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Evaluating Search Result Diversity using Intent Hierarchies

Xiaojie Wang, Zhicheng Dou, Tetsuya Sakai, Ji-Rong Wen
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Search result diversification aims at returning diversified document lists to cover different user intents for ambiguous or broad queries.  ...  The hierarchical measures using the whole intent hierarchies are more intuitive than only using the leaf nodes in terms of diversity and relevance.  ...  We argue that this kind of relationships among intents should be modeled when evaluating search result diversity. However, none of existing measures considers this.  ... 
doi:10.1145/2911451.2911497 dblp:conf/sigir/WangDSW16 fatcat:dcsfeceitne3jkzlp4dkc5ve74

Search Result Diversification Based on Hierarchical Intents

Sha Hu, Zhicheng Dou, Xiaojie Wang, Tetsuya Sakai, Ji-Rong Wen
2015 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15  
Search result diversification aims to solve this problem, by returning diverse results that can fulfill as many different information needs as possible.  ...  Most existing intent-aware search result diversification algorithms formulate user intents for a query as a flat list of subtopics.  ...  Many search result diversification algorithms [1, 2, 5, 14, 23, 25, 26, 31, 32, 36, 37, 42] and evaluation metrics [1, 4, 8, 9, 28, 39] have been developed to improve and evaluate search result diversity  ... 
doi:10.1145/2806416.2806455 dblp:conf/cikm/HuDWSW15 fatcat:enu6gpr3n5fxjl4vgbpwa3vh54

An in-depth study on diversity evaluation: The importance of intrinsic diversity

Hai-Tao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose
2017 Information Processing & Management  
These results justify our analyses, and uncover the previously-unknown importance of intrinsic diversity to the overall diversity evaluation.  ...  The experimental results show that the intent-square metrics disagree with the diversity metrics (ERR-IA and α-nDCG) being used in a traditional way on top-ranked runs, and that the average precision correlation  ...  We refer the reader to the work [1] for an overview of search result diversification. For evaluating the novelty and diversity, Zhai et al.  ... 
doi:10.1016/j.ipm.2017.03.001 fatcat:yn6wskbt4jezrnnz2oii4zcm3u

Mining and ranking users' intents behind queries

Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren
2015 Information retrieval (Boston)  
SISR means that if two queries denote the same intent, we should get similar search results when issuing them to a search engine.  ...  (II) How to precisely estimate the intent similarity between user queries which only consist of a few words. (2) How to properly rank intents in terms of multiple factors, e.g. relevance, diversity, intent  ...  QIR tries to rank each layer of the two-level intent hierarchy in terms of relevance, diversity and intent drift.  ... 
doi:10.1007/s10791-015-9271-1 fatcat:px3sb2gvizfgdodakgsstszgui

Temporal variance of intents in multi-faceted event-driven information needs

Stewart Whiting, Ke Zhou, Joemon Jose, Mounia Lalmas
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
In this work we study the temporal variance of search intents for event-driven information needs using Wikipedia.  ...  First, we model intents based upon the structure represented by the section hierarchy of Wikipedia articles closely related to the information need.  ...  Finally, in Section 3.4 we present results of representing search intents using Wikipedia sections.  ... 
doi:10.1145/2484028.2484169 dblp:conf/sigir/WhitingZJL13 fatcat:2mrtjsaz6bhrpcqk6yb25fkjoe

Review of Intent Diversity in Information Retrieval : Approaches, Models and Trends

M Mustakim, Retantyo Wardoyo, Khabib Mustofa
2018 Journal of Information Technology and Computer Science  
This research used a systematic mapping process to identify what area, approaches, and models that mostly used to detect user intention in information retrieval in four years later. the result of this  ...  research identified that item-based approach is still the most approach researched by researchers to identify intent diversity in information retrieval.  ...  It explains models of intent diversity approaches which used in the information retrieval field.  ... 
doi:10.25126/jitecs.20183259 fatcat:l53h6d2sjbe33bd5usntjs43o4

Focused Clinical Query Understanding and Retrieval of Medical Snippets powered through a Healthcare Knowledge Graph [article]

Maulik R. Kamdar, Michael Carroll, Will Dowling, Linda Wogulis, Cailey Fitzgerald, Matt Corkum, Danielle Walsh, David Conrad, Craig E. Stanley, Jr., Steve Ross, Dru Henke (+1 others)
2020 arXiv   pre-print
In this talk, we will be presenting our research behind the development of a Focused Clinical Search Service, powered by a Healthcare Knowledge Graph, to interpret the query intent behind clinical search  ...  queries and retrieve relevant medical snippets from a diverse corpus of medical literature.  ...  , and to improve ranking of the search results.  ... 
arXiv:2009.09086v1 fatcat:4wqsu7tdtrfw7fewsr2zqiunaa

IntenT5: Search Result Diversification using Causal Language Models [article]

Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis
2021 arXiv   pre-print
Across six standard evaluation benchmarks, we find that our method (which we call IntenT5) improves search result diversity and attains (and sometimes exceeds) the diversity obtained when using query suggestions  ...  Search result diversification is a beneficial approach to overcome under-specified queries, such as those that are ambiguous or multi-faceted.  ...  Researchers have instead largely relied on search result suggestions from major search engines, which are black-box algorithms, or using the "gold" intents used for diversity evaluation [18] .  ... 
arXiv:2108.04026v1 fatcat:z3avwzgcovbbvjl54qjkemvmxy

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  
It is the first large-scale query logs used in a shared-task evaluation (i.e., the NTCIR tasks).  ...  Search logs are very precious for information retrieval studies.  ...  Finally, the relevance and diversity of the ranked subtopics or documents were evaluated using diversified information retrieval metrics (Sakai and Song 2014) .  ... 
doi:10.1007/978-981-15-5554-1_10 fatcat:4xvy3tudt5cpvolzpefvjik63a

Attribute-Augmented Semantic Hierarchy

Hanwang Zhang, Zheng-Jun Zha, Yang Yang, Shuicheng Yan, Yue Gao, Tat-Seng Chua
2014 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
This feedback is then used to refine the search results based on A 2 SH. We use A 2 SH as a basis to develop a unified content-based image retrieval system.  ...  Experimental results show that the proposed A 2 SH can characterize the semantic affinities among images accurately and can shape user search intent quickly, leading to more accurate search results as  ...  This hybrid feedback is analyzed by A 2 SH, leading to a detailed semantic interpretation of user intent, which is then used to refine the search results.  ... 
doi:10.1145/2637291 fatcat:nfk54afzgbchrpu5okanxg2sfa

Capturing User Intent for Analytic Process [chapter]

Eugene Santos, Hien Nguyen, John Wilkinson, Fei Yu, Deqing Li, Keum Kim, Jacob Russell, Adam Olson
2009 Lecture Notes in Computer Science  
In this short paper, we present the formal framework of our intent model, and demonstrate how it is used to detect the common goals between analysts using the APEX dataset.  ...  Additionally, we dynamically generate a goal hierarchy by exploring the relationships between concepts related to a goal.  ...  The paired t test results reveals that the results are statistically significant (n=4, p-value= 0.0396).  ... 
doi:10.1007/978-3-642-02247-0_35 fatcat:u4gpnojmz5eepdqdcwsterfxuq

Leveraging integrated information to extract query subtopics for search result diversification

Wei Zheng, Hui Fang, Conglei Yao, Min Wang
2013 Information retrieval (Boston)  
Search result diversification aims to diversify search results to cover different query subtopics, i.e., pieces of relevant information.  ...  In this article, we study how to leverage the integrated information from both structured and unstructured data to extract high quality subtopics for search result diversification.  ...  We thank the journal reviewers for their useful comments. Inf Retrieval (2014) 17:52-73 71  ... 
doi:10.1007/s10791-013-9228-1 fatcat:llxzle2d6nbkra53iuvxoy77mi

Exploiting Semantic Result Clustering to Support Keyword Search on Linked Data [chapter]

Ananya Dass, Cem Aksoy, Aggeliki Dimitriou, Dimitri Theodoratos
2014 Lecture Notes in Computer Science  
The simplicity of keyword search on data graphs comes with at least two drawbacks: difficulty in identifying results relevant to the user intent among an overwhelming number of candidates and performance  ...  The user selects relevant pattern graphs by exploring only a small portion of the hierarchy supported by a ranking of the hierarchy components.Our experimental results show the feasibility of our system  ...  Keyword search over graph data returns a multitude of candidate results and of extended diversity.  ... 
doi:10.1007/978-3-319-11749-2_34 fatcat:624uqzmqrfdrfn4spndtfvfbea

Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation [article]

Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
2022 arXiv   pre-print
The use of such goals ensures that agent diversity neither disappears during adversarial training nor is pruned away by the beam search.  ...  The beam search refines these policies on the fly by pruning branches that are unfavourably evaluated by a discriminator.  ...  MGAIL shows less diversity loss from tree search than BC (only moderately worse minSADE) but also sees much better diversity when hierarchy is used.  ... 
arXiv:2205.03195v1 fatcat:422oic2qjzcdxkh2224byebjhu

Clustering user queries into conceptual space

Li-Chin Lee, Yi-Shin Chen
2013 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference  
The gap between user search intent and search results is an important issue.  ...  In addition, we build hierarchies among concepts by splitting and merging clusters iteratively.  ...  Search engines may fail to return useful results when they cannot understand what users want from their queries.  ... 
doi:10.1109/apsipa.2013.6694197 dblp:conf/apsipa/LeeC13 fatcat:cmfgdwtwnrcmdf4mzjmkoaurby
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