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Exploring latent browsing graph for question answering recommendation

Meng-Fen Chiang, Wen-Chih Peng, Philip S. Yu
2011 World wide web (Bussum)  
In this paper, we develop a framework of Question Answering Pages (referred to as QA pages) recommendation.  ...  In light of QA latent browsing graph, the importance score of QA pages (referred to as Latent Browsing Rank) and the relevance score of QA pages (referred to as Latent Browsing Recommendation Rank) are  ...  Keywords browsing graph · question answering · recommendation Introduction Question and Answering (QA) forums, such as Baidu and Yahoo!  ... 
doi:10.1007/s11280-011-0146-0 fatcat:s6k2lg3ozrgxpckgah7mza5bmy

Does product recommendation meet its waterloo in unexplored categories?

Jia Chen, Qin Jin, Shiwan Zhao, Shenghua Bao, Li Zhang, Zhong Su, Yong Yu
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
Through our investigation, we address four research questions progressively: 1) what is the impact of unexplored category on recommendation performance?  ...  4) How to utilize price factor across categories for recommendation in unexplored categories?  ...  Once the user browses a recommended u the index of a user i the index of a product c the index of a category C the category vector. C explored u is the vector of explored categories for the user u.  ... 
doi:10.1145/2600428.2609608 dblp:conf/sigir/ChenJZBZSY14 fatcat:dg7zgllumreprdcinhtj6aegxu

Guest Editorial: Web-based services and information systems

Lei Chen, Zhiguo Gong, Qing Li
2012 World wide web (Bussum)  
In "Top-k Answers for XML Keyword Queries", the authors present an approach for identifying the relevant answers of a query by combining the mutual information concept and skyline semantics.  ...  The rapid growth of the Web data requires new technologies for design, implementation, and management of Web-based services and information systems.  ...  The paper, titled "Exploring latent browsing graph for question answering recommendation", gives a new framework for Question Answering systems.  ... 
doi:10.1007/s11280-012-0175-3 fatcat:je24j4k5pnayddu5wuth7tto2e

Modeling Answerer Behavior in Collaborative Question Answering Systems [chapter]

Qiaoling Liu, Eugene Agichtein
2011 Lecture Notes in Computer Science  
This paper explores the contextual factors that influence the answerer behavior in a large, popular CQA system, with the goal to inform the construction of question routing and recommendation systems.  ...  Our results over a dataset of more than 1 million questions draw from a real CQA system could help develop more realistic evaluation methods for question recommendation, and inform the design of future  ...  [9] developed a probabilistic generative model to obtain latent topics for questions and users, and incorporated both the topic-level and term-level information for recommending new questions to potential  ... 
doi:10.1007/978-3-642-20161-5_9 fatcat:tbtqcqxelfdypfrxcjtae4e3y4

Understanding latent interactions in online social networks

Jing Jiang, Christo Wilson, Xiao Wang, Peng Huang, Wenpeng Sha, Yafei Dai, Ben Y. Zhao
2010 Proceedings of the 10th annual conference on Internet measurement - IMC '10  
Finally, we construct latent interaction graphs as models of user browsing behavior, and compare their structural properties against those of both visible interaction graphs and social graphs.  ...  However, recent studies have shown that a majority of user interactions on OSNs are latent interactions, passive actions such as profile browsing that cannot be observed by traditional measurement techniques  ...  Acknowledgments We thank the anonymous reviewers for their valuable comments. This work is supported in part by National Science  ... 
doi:10.1145/1879141.1879190 dblp:conf/imc/JiangWWHSDZ10 fatcat:7w5lhpuihffvxcoomf53ltxev4

Understanding latent interactions in online social networks

Jing Jiang, Christo Wilson, Xiao Wang, Wenpeng Sha, Peng Huang, Yafei Dai, Ben Y. Zhao
2013 ACM Transactions on the Web  
Finally, we construct latent interaction graphs as models of user browsing behavior, and compare their structural properties against those of both visible interaction graphs and social graphs.  ...  However, recent studies have shown that a majority of user interactions on OSNs are latent interactions, passive actions such as profile browsing that cannot be observed by traditional measurement techniques  ...  Acknowledgments We thank the anonymous reviewers for their valuable comments. This work is supported in part by National Science  ... 
doi:10.1145/2517040 fatcat:xpgvtqh6erbvtls52o27nqsrmy

Intent-Aware Contextual Recommendation System

Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti, Kushal Satya
2017 2017 IEEE International Conference on Data Mining Workshops (ICDMW)  
An intelligent recommender system is not only useful for the user but also for businesses which want to learn the tendencies of their users.  ...  A provision for feedback is also envisioned in the current system which informs the model to update the various weights in the recommender system.  ...  The authors would like to thank Adobe Research for their support.  ... 
doi:10.1109/icdmw.2017.8 dblp:conf/icdm/BhattacharyaBSS17 fatcat:ovd77nh57zhdnmywne7mou3loy

Aspect-driven User Preference and News Representation Learning for News Recommendation [article]

Rongyao Wang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang
2022 arXiv   pre-print
Most of existing news recommender systems usually learn topic-level representations of users and news for recommendation, and neglect to learn more informative aspect-level features of users and news for  ...  News recommender systems are essential for helping users to efficiently and effectively find out those interesting news from a large amount of news.  ...  To answer question Q3, we set the number of aspects from 10 to 45 and show their performances in Fig. 3 .  ... 
arXiv:2110.05792v2 fatcat:wkd45dtj45ge5dodb2cxnggcdu

A new visual search interface for web browsing

Songhua Xu, Tao Jin, Francis C. M. Lau
2009 Proceedings of the Second ACM International Conference on Web Search and Data Mining - WSDM '09  
And then we analyze the semantics of search results to detect latent topics in the result set.  ...  We introduce a new visual search interface for search engines.  ...  We thank Hao Jiang and Wenxia Yang for helping us in some of the experiments.  ... 
doi:10.1145/1498759.1498821 dblp:conf/wsdm/XuJL09 fatcat:pljumvqcgnd5xedo5fkyp56jfy

WebKDD 2004

Olfa Nasraoui, Bamshad Mobasher, Brij Masand, Bing Liu
2004 SIGKDD Explorations  
In Discovering Links between Lexical and Surface Features in Questions and Answers [3] , Chakrabarti presents a datadriven approach, assisted by machine learning to build question answering information  ...  The model parameters distill and reveal linguistic artifacts coupling questions and their answers, which can be used for better annotation and indexing.  ...  He was formerly head of the data mining group at GTE Labs, where he pioneered web usage mining for analyzing behavior of on-line yellow pages users.  ... 
doi:10.1145/1046456.1046484 fatcat:ixwszjvlfrg75fdoon34ucrfdq

Conversational Browsing [article]

Svitlana Vakulenko, Vadim Savenkov, Maarten de Rijke
2020 arXiv   pre-print
To answer these questions, we collected observations of human participants performing a similar task to obtain inspiration for the system design.  ...  How can we use these insights to design a dialogue system that does not require explicit query formulation upfront as in question answering?  ...  We would like to enable exploratory search over the dataset content that can complement question answering approaches over tables and knowledge graphs [53, 55] .  ... 
arXiv:2012.03704v1 fatcat:ukpsemqnfrbglocnhzbn7ix57m

CQArank

Liu Yang, Minghui Qiu, Swapna Gottipati, Feida Zhu, Jing Jiang, Huiping Sun, Zhong Chen
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
To bring the best value out of these knowledge repositories, it is critically important for CQA services to know how to find the right experts, retrieve archived similar questions and recommend best answers  ...  Community Question Answering (CQA) websites, where people share expertise on open platforms, have become large repositories of valuable knowledge.  ...  [11] proposed a generative model for questions and answers by exploring the category information to discover latent interests of users and recommend question answerers for new arrival questions.  ... 
doi:10.1145/2505515.2505720 dblp:conf/cikm/YangQGZJSC13 fatcat:4dxcoz7qrjbvzimzmtsnxhaauq

Knowledge-based Conversational Search [article]

Svitlana Vakulenko
2019 arXiv   pre-print
In the third research chapter, we propose a novel approach for complex question answering from a knowledge graph that surpasses the current state-of-the-art results in terms of both efficacy and efficiency  ...  In the last research chapter, we turn our attention towards an alternative interaction mode, which we termed conversational browsing, in which, unlike question answering, the conversational system plays  ...  A simple example of message passing for complex question answering over a knowledge graph is given in Figure 5 .3.  ... 
arXiv:1912.06859v1 fatcat:rab6kemqujflrobib7lvvy6hue

TripleRank: Ranking Semantic Web Data by Tensor Decomposition [chapter]

Thomas Franz, Antje Schultz, Sergej Sizov, Steffen Staab
2009 Lecture Notes in Computer Science  
Existing methods for graphbased authority ranking lack support for fine-grained latent coherence between resources and predicates (i.e. support for link semantics in the linked data model).  ...  Large amounts and high diversity of knowledge in the Semantic Web pose the challenging question of appropriate relevance ranking for producing fine-grained and rich descriptions of the available data,  ...  The generalized algorithm for personalized authority ranking is described in [22] . Our TripleRank approach is designed for a different scenario of resource recommendation when browsing linked data.  ... 
doi:10.1007/978-3-642-04930-9_14 fatcat:a2oygfhxybfbdehcc5bwex7gtu

Text-learning and related intelligent agents: a survey

D. Mladenic
1999 IEEE Intelligent Systems and their Applications  
A number of systems have emerged for helping users browse the Web, some based on content analysis using mostly text from Web documents, and others relying on other information about document relevancy,  ...  While this personal touch and opportunity for creativity can be extremely useful for humans when providing and obtaining information, most computer systems have a hard time coping with the complexity,  ...  Many thanks to the anonymous reviewers for valuable comments and suggestions.  ... 
doi:10.1109/5254.784084 fatcat:6u562ljgsregjohgj3jqeopaoq
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