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When Factorization Meets Heterogeneous Latent Topics： An Interpretable Cross-Site Recommendation Framework

Journal of Computer Science & Technology 2015年第4期30卷 917-932页

作者：辛欣林钦佑魏骁驰黄河燕 Beijing Engineering Research Center of High Volume Language Information Processing & Cloud Computing School of Computer Science Beijing Institute of Technology Beijing 100081 China Microsoft Research Asia Beijing 100080 China

Data sparsity is a well-known challenge in recommender systems. Previous studies alleviate this problem by incorporating the information within the corresponding social media site. In this paper, we solve this challenge by exploring cross-site information. Specifically, we examine： 1） how to effectively and efficiently utilize cross-site ratings and content features to improve recommendation performance and 2） how to make the recommendation interpretable by utilizing content features. We propose a joint model of matrix factorization and latent topic analysis. Heterogeneous content features are modeled by multiple kinds of latent topics. In addition, the combination of matrix factorization and latent topics makes the recommendation result interpretable. Therefore, the above two issues are simultaneously solved. Through a real-world ***, where user behaviors in three social media sites are collected, we demonstrate that the proposed model is effective in improving recommendation performance and interpreting the rationale of ratings.

关键词： collaborative filtering recommender system topic analysis

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Knowledge-enriched joint-learning model for implicit emotion cause extraction

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CAAI Transactions on Intelligence Technology 2023年第1期8卷 118-128页

作者： Chenghao Wu Shumin Shi Jiaxing Hu Heyan Huang School of Computer Science and Technology Beijing Institute of TechnologyBeijingChina Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications BeijingChina

Emotion cause extraction(ECE)task that aims at extracting potential trigger events of certain emotions has attracted extensive attention ***,current work neglects the implicit emotion expressed without any explicit emotional keywords,which appears more frequently in application *** lack of explicit emotion information makes it extremely hard to extract emotion causes only with the local ***,an entire event is usually across multiple clauses,while existing work merely extracts cause events at clause level and cannot effectively capture complete cause event *** address these issues,the events are first redefined at the tuple level and a span-based tuple-level algorithm is proposed to extract events from different *** on it,a corpus for implicit emotion cause extraction that tries to extract causes of implicit emotions is *** authors propose a knowledge-enriched jointlearning model of implicit emotion recognition and implicit emotion cause extraction tasks(KJ-IECE),which leverages commonsense knowledge from ConceptNet and NRC_VAD to better capture connections between emotion and corresponding cause *** on both implicit and explicit emotion cause extraction datasets demonstrate the effectiveness of the proposed model.

关键词： emotion cause extraction external knowledge fusion implicit emotion recognition joint learning

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Design of satellite TV antenna control system for car carrying

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International Journal of Wireless and Mobile computing 2013年第4期6卷 412-418页

作者： Yu, Xiao Li, Yuan-Zhang Liang, Qing-Gang Ding, Xiu-Mei Chen, Hong-Liang Liu, Yi-Hao Fan, Kai Tan, Yu-An School of Computer Science and Technology Shandong University of Technology Zibo Shandong China Beijing Eng. Res. Center of Massive Language Information Processing and Cloud Computing Application School of Computer Science Beijing Institute of Technology Beijing China

In this study, we design a satellite TV antenna control system for car carrying with sensor technology, strapdown inertial navigation technology and signal processing technology. The control system uses dsPIC, GPS, 3-axis electronic compass, gyro, tuner and demodulator to work together. The process of system is divided into initial pointing stage and inertial navigation pointing stage. Experimental results show that the system can effectively improve the control accuracy and response speed. Copyright © 2013 Inderscience Enterprises Ltd.

关键词： Global positioning system

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A Hybrid Method of Domain Lexicon Construction for Opinion Targets Extraction Using Syntax and Semantics

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Journal of Computer Science & Technology 2016年第3期31卷 595-603页

作者： Chun Liao Chong Feng Sen Yang He-Yan Huang Department of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology Beijing 100081 China

Opinion targets extraction of Chinese microblogs plays an important role in opinion mining. There has been a significant progress in this area recently, especially the method based on conditional random field （CRF）. However, this method only takes lexicon-related features into consideration and does not excavate the implied syntactic and semantic knowledge. We propose a novel approach which incorporates domain lexicon with groups of syntactical and semantic features. The approach acquires domain lexicon through a novel way which explores syntactic and semantic information through Part- of-Speech, dependency structure, phrase structure, semantic role and semantic similarity based on word embedding. And then we combine the domain lexicon with opinion targets extracted from CRF with groups of features for opinion targets extraction. Experimental results on COAE2014 dataset show the outperformance of the approach compared with other well-known methods on the task of opinion targets extraction.

关键词： domain lexicon opinion targets extraction syntactic structure semantic role word embedding

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End States Guided Matching Network for Retrieval-based Multi-turn Conversation 3

End States Guided Matching Network for Retrieval-based Multi...

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2021年第三届先进计算机技术、信息科学与通信国际会议(CTISC2021)

作者： Weixin Tan Dandan Song Yujin Gao Lab of High Volume language Information Processing & Cloud Computing Beijing Lab of Intelligent Information TechnologyBeijing Institute of Technology

ISBN: (纸本)9781665418683

Multi-turn conversation response selection aims to choose the best response from multiple candidates based on matching it with the dialogue context. Mostly, a response full of context-related information tends to be a proper ***, in some cases, a brief response like "ok" could be the more appropriate one. We find that it is a semantically ended conversation that a brief response usually comes after,so there is no need to provide any context-related information after that. Thus, in addition to match the response with context,it is also critical to recognize the state of whether a dialogue has ended, and learn how to get necessary information from context of different end states separately. To achieve this, we propose an end states guided matching network to determine and incorporate the end states by jointly consider the length of response and the local similarity between the response and last few utterances. In addition, we adopt multiple descriptive sequence representations for a more reliable matching *** results demonstrate that our model outperforms the state-of-the-art methods in multiple datasets.

关键词： information science Computational modeling Computer network reliability Reliability Data mining

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PSVM: a preference-enhanced SVM model using preference data for classification

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Science China(information Sciences) 2017年第12期60卷 165-178页

作者： Lerong MA Dandan SONG Lejian LIAO Jingang WANG Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications School of Computer Science and Technology Beijing Institute of Technology College of Mathematics and Computer Science Yan'an University Search Business Department Alibaba Group

Classification is an essential task in data mining, machine learning and pattern recognition *** classification models focus on distinctive samples from different categories. There are fine-grained differences between data instances within a particular category. These differences form the preference information that is essential for human learning, and, in our view, could also be helpful for classification models. In this paper, we propose a preference-enhanced support vector machine(PSVM), that incorporates preference-pair data as a specific type of supplementary information into SVM. Additionally, we propose a two-layer heuristic sampling method to obtain effective preference-pairs, and an extended sequential minimal optimization(SMO)algorithm to fit PSVM. To evaluate our model, we use the task of knowledge base acceleration-cumulative citation recommendation(KBA-CCR) on the TREC-KBA-2012 dataset and seven other datasets from UCI,Stat Lib and ***. The experimental results show that our proposed PSVM exhibits high performance with official evaluation metrics.

关键词： preference SVM classification sampling sequential minimal optimization(SMO)

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A VoLTE Encryption Experiment for Android Smartphones 5th

A VoLTE Encryption Experiment for Android Smartphones

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5th International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017

作者： Liu, Shaoru Wang, Yao Zhang, Quanxin Li, Yuanzhang School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Research Center of Massive Language Information Processing and Cloud Computing Application Beijing100081 China

ISBN: (纸本)9789811308925

With the increasing popularity of 4G networks, communication technology based on VoLTE protocol has gradually become more and more mature. However, the public pay more attention to data security in the communication. We modify the baseband protocol of mobile phone with C language and assembly language in Android system and the encryption scheme for VoLTE protocol adds the key agreement and the improved RC4 encryption algorithm by capturing and analyzing the RTP packets in the communication. Finally, end-to-end VoLTE encrypted communication is implemented to protect user communication security and avoid the third party stealing data. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Android (operating system)

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Verification for commitment-based web service protocols

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International Journal of Wireless and Mobile computing 2014年第3期7卷 217-223页

作者： Fang, Zhi Liao, Lejian Chen, Ruoyu Beijing Eng. Res. Ctr. of High Vol. Language Information Processing and Cloud Computing Applications Beijing Laboratory of Intelligent Information Technology School of Computer Science Beijing 100081 China

We propose a model for a class of web services which are powered by relational databases and annotated by social commitment. Our model can be viewed as an extension of WSDL specification where schemas of service operations specify not only input-output signatures but also data constraints, control-flow constraints, state/output/effect rules. The dataaware temporal properties about interactions between services and users are specified in Linear Temporal First-Order Logic with Social Commitment (LTL-FOSC). We have proved it is possible to use existing tools (e.g. WAVE) originally designed for verification of web applications to verify such properties. Copyright © 2014 Inderscience Enterprises Ltd.

关键词： Web services

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A novel audio information hiding scheme based on rMAC

A novel audio information hiding scheme based on rMAC

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2012 International Conference on information Technology and Software Engineering, ITSE 2012

作者： Yu, Litao Zhu, Liehuang Liu, Dan Xie, Yuzhou Beijing Eng. Res. Center of Massive Language Information Processing and Cloud Computing Application School of Computer Science and Technology Beijing Institute of Technology Beijing 100086 China

ISBN: (纸本)9783642345302

We present a novel audio information hiding scheme based on robust message authentication code (rMAC). By combining coefficient quantization based information hiding scheme with rMAC and chaotic encryption, proposed scheme can ensure the content integrity and the confidentiality of the embedded audio as well as secret communication. Experimental results show that our scheme provides highly robust authentication against content preserving degradations. When 30 % noise added into the transporting message, 92.50 % audio communication can also succeed. © 2013 Springer-Verlag.

关键词： Authentication

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Incorporating social actions into recommender systems

Incorporating social actions into recommender systems

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14th International Conference on Web-Age information Management, WAIM 2013

作者： Ma, Di Song, Dandan Liao, Lejian Beijing Eng. Res. Ctr. of High Vol. Language Information Processing and Cloud Computing Application Beijing Lab of Intelligent Information Technology School of Computer Science Beijing China

ISBN: (纸本)9783642385612

With the rapidly growing amount of information available on the internet, recommender systems become popular tools to promote relevant online information to a given user. Although collaborative filtering is the most popular approach to build recommender systems and has been widely deployed in many applications, it still pay little attention to social actions, which are widely common in social networks and we believe could make a significant improvement in recommender systems. In this paper, we incorporate users' social actions into a model-based approach for recommendation using probabilistic matrix factorization. Compared with previous work, users' social actions are taken as a new relation to optimize previous trust-based recommender systems. To achieve this, we propose a social recommendation graphical model employing users' relations based on their social actions. We make use of users' commenting action in our approach and conduct experiments on a real life dataset, extracted from the Douban movie ratings and comments system. Our experiments demonstrate that incorporating users' social action information leads to a significant improvement in recommender systems. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Recommender systems

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