default search action
AIRS 2011: Dubai, United Arab Emirates
- Mohamed-Vall O. Mohamed-Salem, Khaled Shaalan, Farhad Oroumchian, Azadeh Shakery, Halim M. Khelalfa:
Information Retrieval Technology - 7th Asia Information Retrieval Societies Conference, AIRS 2011, Dubai, United Arab Emirates, December 18-20, 2011. Proceedings. Lecture Notes in Computer Science 7097, Springer 2011, ISBN 978-3-642-25630-1
Information Retrieval Models and Theories
- Hsuan-Yu Lin, Chi-Hsin Yu, Hsin-Hsi Chen:
Query-Dependent Rank Aggregation with Local Models. 1-12 - Peng Zhang, Dawei Song, Jun Wang, Xiaozhao Zhao, Yuexian Hou:
On Modeling Rank-Independent Risk in Estimating Probability of Relevance. 13-24 - Ronan Cummins:
Measuring the Ability of Score Distributions to Model Relevance. 25-36 - Ivan Vulic, Wim De Smet, Marie-Francine Moens:
Cross-Language Information Retrieval with Latent Topic Models Trained on a Comparable Corpus. 37-48 - Guichun Hua, Min Zhang, Yiqun Liu, Shaoping Ma, Hang Yin:
Construct Weak Ranking Functions for Learning Linear Ranking Function. 49-60 - Qixia Jiang, Yan Zhang, Liner Yang, Maosong Sun:
Is Simhash Achilles? 61-72 - Cyril Laitang, Mohand Boughanem, Karen Pinel-Sauvagnat:
XML Information Retrieval through Tree Edit Distance and Structural Summaries. 73-83 - Dashun Ma, Lan Rao, Ting Wang:
An Empirical Study of SLDA for Information Retrieval. 84-92 - Ping Zhang, Hongfei Lin, Yuan Lin, Jiajin Wu:
Learning to Rank by Optimizing Expected Reciprocal Rank. 93-102
Information Retrieval Applications and Multimedia Information Retrieval
- Nada Naji, Jacques Savoy:
Information Retrieval Strategies for Digitized Handwritten Medieval Documents. 103-114 - Bashar Al-Shboul, Sung-Hyon Myaeng:
Query Phrase Expansion Using Wikipedia in Patent Class Search. 115-126 - Chia-Hui Chang, Kaun-Hua Huo:
Increasing Broadband Subscriptions for Telecom Carriers through Mobile Advertising. 127-136 - Lu Bai, Jiafeng Guo, Xueqi Cheng:
Query Recommendation by Modelling the Query-Flow Graph. 137-146 - Jiyi Li, Qiang Ma, Yasuhito Asano, Masatoshi Yoshikawa:
Ranking Content-Based Social Images Search Results with Social Tags. 147-156
User Study, Information Retrieval Evaluation and Interactive Information Retrieval
- Anushia Inthiran, Saadat M. Alhashmi, Pervaiz K. Ahmed:
Profiling a Non-medical Professional Searcher on a Medical Domain: What Do Search Patterns and Demographic Details Reveal? 157-168 - Ourdia Bouidghaghen, Lynda Tamine-Lechani, Gabriella Pasi, Guillaume Cabanac, Mohand Boughanem, Célia da Costa Pereira:
Prioritized Aggregation of Multiple Context Dimensions in Mobile IR. 169-180 - Rita Wan-Chik, Paul D. Clough, Nigel Ford:
Searching for Islamic and Qur'anic Information on the Web: A Mixed-Methods Approach. 181-192 - M-Dyaa Albakour, Udo Kruschwitz, Ibrahim Adeyanju, Dawei Song, Maria Fasli, Anne N. De Roeck:
Enriching Query Flow Graphs with Click Information. 193-204 - Marika Imazu, Shin-ichi Nakayama, Hideo Joho:
Effect of Explicit Roles on Collaborative Search in Travel Planning Task. 205-214 - Mohammadreza Darvish Morshedi Hosseini, Azadeh Shakery, Behzad Moshiri:
A Web 2.0 Approach for Organizing Search Results Using Wikipedia. 215-225
Web Information Retrieval, Scalability and Adversarial Information Retrieval
- Chien-Chin Su, Pu-Jen Cheng:
Recommend at Opportune Moments. 226-237 - Anqi Cui, Min Zhang, Yiqun Liu, Shaoping Ma:
Emotion Tokens: Bridging the Gap among Multilingual Twitter Sentiment Analysis. 238-249 - Ting-Xuan Wang, Wen-Hsiang Lu:
Identifying Popular Search Goals behind Search Queries to Improve Web Search Ranking. 250-262 - Mohammad Amin Golshani, Vali Derhami, Ali Mohammad Zareh Bidoki:
A Novel Crawling Algorithm for Web Pages. 263-272 - Saori Kitahara, Koya Tamura, Kenji Hatano:
Extraction of Web Texts Using Content-Density Distribution. 273-282 - Anil Turel, Fazli Can:
A New Approach to Search Result Clustering and Labeling. 283-292 - Etsuro Fujita, Keizo Oyama:
Efficient Top-k Document Retrieval Using a Term-Document Binary Matrix. 293-302
Machine Learning for Information Retrieval
- Yong Zhang, Dong-Hong Ji, Ying Su, Po Hu:
Topic Analysis for Online Reviews with an Author-Experience-Object-Topic Model. 303-314 - Ronan Cummins:
Predicting Query Performance Directly from Score Distributions. 315-326 - Elahe Rahimtoroghi, Azadeh Shakery:
Wikipedia-Based Smoothing for Enhancing Text Clustering. 327-339 - Hamed Ganji, Shahram Khadivi:
ASVMFC: Adaptive Support Vector Machine Based Fuzzy Classifier. 340-351 - Cagri Toraman, Fazli Can:
Ensemble Pruning for Text Categorization Based on Data Partitioning. 352-361 - Yong Zhang, Dong-Hong Ji, Ying Su, Cheng Sun:
Sentiment Analysis for Online Reviews Using an Author-Review-Object Model. 362-371
Natural Language Processing for Information Retrieval
- Sylvester Olubolu Orimaye, Saadat M. Alhashmi, Eu-Gene Siew:
Semantic-Based Opinion Retrieval Using Predicate-Argument Structures and Subjective Adjectives. 372-385 - Yllias Chali, Sadid A. Hasan, Kaisar Imam:
An Aspect-Driven Random Walk Model for Topic-Focused Multi-document Summarization. 386-397 - Binyang Li, Lanjun Zhou, Wei Gao, Kam-Fai Wong, Zhongyu Wei:
An Effective Approach for Topic-Specific Opinion Summarization. 398-409 - Chien Chin Chen, Zhong-Yong Chen:
A Model-Based EM Method for Topic Person Name Multi-polarization. 410-421 - Zheng Lin, Songbo Tan, Xueqi Cheng:
Using Key Sentence to Improve Sentiment Classification. 422-433 - Xiaoying Liu, Zhoujun Li, Xiaojian Zhao, Zhenggan Zhou:
Using Concept-Level Random Walk Model and Global Inference Algorithm for Answer Summarization. 434-445 - Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara:
Acquisition of Know-How Information from Web. 446-457 - Zahra Rahimi, Azadeh Shakery:
Topic Based Creation of a Persian-English Comparable Corpus. 458-469 - Han Ren, Dong-Hong Ji, Chong Teng, Jing Wan:
A Web Knowledge Based Approach for Complex Question Answering. 470-478 - Zhuoye Ding, Qi Zhang, Xuanjing Huang:
Learning to Extract Coherent Keyphrases from Online News. 479-488 - Hapnes Toba, Mirna Adriani, Ruli Manurung:
Maintaining Passage Retrieval Information Need Using Analogical Reasoning in a Question Answering Task. 489-498 - Po Hu, Dong-Hong Ji, Cheng Sun, Chong Teng, Yong Zhang:
Improving Document Summarization by Incorporating Social Contextual Information. 499-508 - Aya Ishino, Hidetsugu Nanba, Toshiyuki Takezawa:
Automatic Classification of Link Polarity in Blog Entries. 509-518 - Sa-Kwang Song, Yunsoo Choi, Heung-Seon Oh, Sung-Hyon Myaeng, Sung-Pil Choi, Hong-Woo Chun, Chang-Hoo Jeong, Won-Kyung Sung:
Feasibility Study for Procedural Knowledge Extraction in Biomedical Documents. 519-528
Arabic Script Text Processing and Retrieval
- Dia AbuZeina, Wasfi G. Al-Khatib, Moustafa Elshafei:
Small-Word Pronunciation Modeling for Arabic Speech Recognition: A Data-Driven Approach. 529-537 - Marco Boella, Francesca Romana Romani, Anjela Al-Raies, Cristina Solimando, Giuliano Lancioni:
The SALAH Project: Segmentation and Linguistic Analysis of ḥadīṯ Arabic Texts. 538-549 - Mahmoud El-Haj, Udo Kruschwitz, Chris Fox:
Exploring Clustering for Multi-document Arabic Summarisation. 550-561 - Iman Saleh, Lamia Tounsi, Josef van Genabith:
ZamAn and Raqm: Extracting Temporal and Numerical Expressions in Arabic. 562-573 - Mohammad Sadegh Rasooli, Omid Kashefi, Behrouz Minaei-Bidgoli:
Extracting Parallel Paragraphs and Sentences from English-Persian Translated Documents. 574-583 - Qusay Walid Bsoul, Masnizah Mohd:
Effect of ISRI Stemming on Similarity Measure for Arabic Document Clustering. 584-593 - Maryam Haghollahi, Mehrnoush Shamsfard:
A Semi-supervised Approach for Key-Synset Extraction to Be Used in Word Sense Disambiguation. 594-603 - Aynaz Taheri, Mehrnoush Shamsfard:
Mapping FarsNet to Suggested Upper Merged Ontology. 604-613 - Rim Koulali, Abdelouafi Meziane:
Topic Detection and Multi-word Terms Extraction for Arabic Unvowelized Documents. 614-623
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.