hotauthor: wu_l* : Human-Computer Interaction Bibliography Search

[1] Effective Multi-Query Expansions: Robust Landmark Retrieval Session 1: Multimedia Indexing and Search / Wang, Yang / Lin, Xuemin / Wu, Lin / Zhang, Wenjie Proceedings of the 2015 ACM International Conference on Multimedia 2015-10-26 p.79-88

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Summary: Given a query photo issued by a user (q-user), the landmark retrieval is to return a set of photos with their landmarks similar to those of the query, while the existing studies on the landmark retrieval focus on exploiting geometries of landmarks for similarity matches between candidate photos and a query photo. We observe that the same landmarks provided by different users may convey different geometry information depending on the viewpoints and/or angles, and may subsequently yield very different results. In fact, dealing with the landmarks with shapes caused by the photography of q-users is often nontrivial and has never been studied.
Motivated by this, in this paper we propose a novel framework, namely multi-query expansions, to retrieve semantically robust landmarks by two steps. Firstly, we identify the top-k photos regarding the latent topics of a query landmark to construct multi-query set so as to remedy its possible shape. For this purpose, we significantly extend the techniques of Latent Dirichlet Allocation. Secondly, we propose a novel technique to generate the robust yet compact pattern set from the multi-query photos. To ensure redundancy-free and enhance the efficiency, we adopt the existing minimum-description-length-principle based pattern mining techniques to remove similar query photos from the (k+1) selected query photos. Then, a landmark retrieval rule is developed to calculate the ranking scores between mined pattern set and each photo in the database, which are ranked to serve as the final ranking list of landmark retrieval. Extensive experiments are conducted on real-world landmark datasets, validating the significantly higher accuracy of our approach.

[2] LBMCH: Learning Bridging Mapping for Cross-modal Hashing Short Papers / Wang, Yang / Lin, Xuemin / Wu, Lin / Zhang, Wenjie / Zhang, Qing Proceedings of the 2015 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2015-08-09 p.999-1002

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Summary: Hashing has gained considerable attention on large-scale similarity search, due to its enjoyable efficiency and low storage cost. In this paper, we study the problem of learning hash functions in the context of multi-modal data for cross-modal similarity search. Notwithstanding the progress achieved by existing methods, they essentially learn only one common hamming space, where data objects from all modalities are mapped to conduct similarity search. However, such method is unable to well characterize the flexible and discriminative local (neighborhood) structure in all modalities simultaneously, hindering them to achieve better performance. Bearing such stand-out limitation, we propose to learn heterogeneous hamming spaces with each preserving the local structure of data objects from an individual modality. Then, a novel method to learning bridging mapping for cross-modal hashing, named LBMCH, is proposed to characterize the cross-modal semantic correspondence by seamlessly connecting these distinct hamming spaces. Meanwhile, the local structure of each data object in a modality is preserved by constructing an anchor based representation, enabling LBMCH to characterize a linear complexity w.r.t the size of training set. The efficacy of LBMCH is experimentally validated against real-world cross-modal datasets.

[3] Skeuomorphism and Flat Design: Evaluating Users' Emotion Experience in Car Navigation Interface Design Emotional and Persuasion Design / Wu, Lei / Lei, Tian / Li, Juan / Li, Bin DUXU 2015: Fourth International Conference on Design, User Experience, and Usability, Part I: Design Discourse 2015-08-02 v.1 p.567-575

Keywords: User experience; Emotion; Interface design; Skeuomorphism design; Flat design

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Summary: To study the difference of users' emotion experience between skeuomorphism and flat design, based on kansei engineering, cognitive psychology and human factors theory, we conducted a semantic differential (SD) experimental study in car navigation interface. The independent variables in this study was the visual representation method (VRM). The dependent variable were user experience rating (UER) and artificial texture rating (ATR). The main findings of this study are as follows: (1) we find that the users' emotion experience is mainly made up of stylization cognition factor (SCF), emotional cognitive factor (ECF) and the decorative cognitive factor (DCC); (2) The artificial texture rating (ATR) has a significant effect on user experience rating (UER). The research results can help designers to deeply understand the difference of user emotional impact between skeuomorphism and flat design, which could guide the designers better to design the car navigation interface.

[4] Exploiting Correlation Consensus: Towards Subspace Clustering for Multi-modal Data Posters 2 / Wang, Yang / Lin, Xuemin / Wu, Lin / Zhang, Wenjie / Zhang, Qing Proceedings of the 2014 ACM International Conference on Multimedia 2014-11-03 p.981-984

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Summary: Often, a data object described by many features can be decomposed as multi-modalities, which always provide complementary information to each other. In this paper, we study subspace clustering for multi-modal data by effectively exploiting data correlation consensus across modalities, while keeping individual modalities well encapsulated. Our technique can yield a more ideal data similarity matrix, which encodes strong data correlations for the cross-modal data objects in the same subspace.
To these ends, we propose a novel angular based regularizer coupled with our objective function, which is aided by trace lasso and minimized to yield sparse representation vectors encoding data correlations in multiple modalities. As a result, the sparse code vectors of the same cross-modal data have small angular difference so as to achieve the data correlation consensus simultaneously. This can generate a compatible data similarity matrix for multi-modal data. The final subspace clustering result is obtained by applying spectral clustering on such data similarity matrix. The effectiveness of our approach is validated by experiments conducted on real-world image datasets.

[5] Rubato DB: A Highly Scalable Staged Grid Database System for OLTP and Big Data Applications DB Session 1: Query Processing / Yuan, Li-Yan / Wu, Lengdong / You, Jia-Huai / Chi, Yan Proceedings of the 2014 ACM Conference on Information and Knowledge Management 2014-11-03 p.1-10

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Summary: This paper proposes a new formula protocol for distributed concurrency control, and specifies a staged grid architecture for highly scalable database management systems. The paper also describes novel implementation techniques of Rubato DB based on the proposed protocol and architecture. We have conducted extensive experiments which clearly show that Rubato DB is highly scalable with efficient performance under both TPC-C and YCSB benchmarks. Our paper verifies that the formula protocol and the staged grid architecture provide a satisfactory solution to one of the important challenges in the database systems: to develop a highly scalable database management system that supports various consistency levels from ACID to BASE.

[6] Building Trust in Hospitality and Culture Exchange Travel Sites: Lessons from Heuristic Evaluation of CouchSurfing Cross-Cultural Design for the Smart City / Hung, Yu-Hsiu / Wu, Lian-Fan / Chen, Chia-Chun CCD 2014: 6th International Conference on Cross-Cultural Design 2014-06-22 p.630-642

Keywords: Trust; Hospitality Exchange; Travel; and CouchSurfing

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Summary: Travel is gaining popularity among people and around the world. The number of people relying on social networking resources and hospitality/culture exchange travel websites is also increasing. However, there have been voices criticizing hospitality/culture exchange websites for deception, violations of privacy, and lack of dispute resolution process, etc. To address this problem and to glean design insight, our study performed Heuristic Evaluation (with six subject matter experts) on the features and interfaces of CouchSurfing (one of the most popular hospitality exchange websites). The purpose was to understand if current features and interfaces of hospitality travel websites support trust-building among users. Results of the study showed barriers in differing stages of the trust-building process. Results also revealed that the establishment of trust was challenged by the current graphic design, the structure design, as well as the social cue design of CouchSurfing. Design recommendations were made from this study for hospitality/culture exchange travel websites.

[7] Supporting crisis response with dynamic procedure aids Well being / Wu, Leslie / Cirimele, Jesse / Leach, Kristen / Card, Stuart / Chu, Larry / Harrison, T. Kyle / Klemmer, Scott R. Proceedings of DIS'14: Designing Interactive Systems 2014-06-21 v.1 p.315-324

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Summary: Checklist usage can increase performance in complex, high-risk domains. While paper checklists are valuable, they are static, slow to access, and show both too much and too little information. We introduce Dynamic Procedure Aids to address four key problems in checklist usage: ready access to aids, rapid assimilation of content, professional acceptance, and limited attention. To understand their efficacy for crisis response, we created the dpAid software system. Its design arose through a multi-year participation in medical crisis response training featuring realistic team simulations. A study comparing Dynamic Procedure Aids, paper, and no aid, found that participants with Dynamic Procedure Aids performed significantly better than with paper or no aid. This study introduces the narrative simulation paradigm for comparatively assessing expert procedural performance through a score-and-correct approach.

[8] Improving query suggestion through noise filtering and query length prediction WWW 2014 posters / Wu, Liang / Cao, Bin / Zhou, Yuanchun / Li, Jianhui Companion Proceedings of the 2014 International Conference on the World Wide Web 2014-04-07 v.2 p.399-400

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Summary: Clustering-based methods are commonly used in Web search engines for query suggestion. Clustering is useful in reducing the sparseness of data. However, it also introduces noises and ignores the sequential information of query refinements in search sessions. In this paper, we propose to improve cluster based query suggestion from two perspectives: filtering out unrelated query candidates and predicting the refinement direction. We observe two major refinements behaviors. One is to simplify the original query and the other is to specify it. Both could be modeled by predicting the length (number of terms) of queries when candidates are being ranked. Two experimental results on the real query logs of a commercial search engine demonstrate the effectiveness of the proposed approaches.

[9] A pattern-based selective recrawling approach for object-level vertical search IR track: applications II / Zhou, Yaqian / Zhang, Qi / Huang, Xuanjing / Wu, Lide Proceedings of the 2013 ACM Conference on Information and Knowledge Management 2013-10-27 p.1441-1450

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Summary: Traditional recrawling methods learn navigation patterns in order to crawl related web pages. However, they cannot remove the redundancy found on the web, especially at the object level. To deal with this problem, we propose a new hypertext resource discovery method, called "selective recrawling" for object-level vertical search applications. The goal of selective recrawling is to automatically generate URL patterns, then select those pages that have the widest coverage, and least irrelevance and redundancy relative to a pre-defined vertical domain. This method only requires a few seed objects and can select the set of URL patterns that covers the greatest number of objects. The selected set can continue to be used for some time to recrawl web pages and can be renewed periodically. This leads to significant savings in hardware and network resources.
In this paper we present a detailed framework of selective recrawling for object-level vertical search. The selective recrawling method automatically extends the set of candidate websites from initial seed objects. Based on the objects extracted from these websites it learns a set of URL patterns which covers the greatest number of target objects with little redundancy. Finally, the navigation patterns generated from the selected URL pattern set are used to guide future crawling. Experiments on local event data show that our method can greatly reduce downloading of web pages while maintaining comparative object coverage.

[10] Efficient image and tag co-ranking: a Bregman divergence optimization method Posters / Wu, Lin / Wang, Yang / Shepherd, John Proceedings of the 2013 ACM International Conference on Multimedia 2013-10-21 p.593-596

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Summary: Ranking on image search has attracted considerable attentions. Many graph-based algorithms have been proposed to solve this problem. Despite their remarkable success, these approaches are restricted to their separated image networks. To improve the ranking performance, one effective strategy is to work beyond the separated image graph by leveraging fruitful information from manual semantic labeling (i.e., tags) associated with images, which leads to the technique of co-ranking images and tags, a representative method that aims to explore the reinforcing relationship between image and tag graphs. The idea of co-ranking is implemented by adopting the paradigm of random walks. However, there are two problems hidden in co-ranking remained to be open: the high computational complexity and the problem of out-of-sample. To address the challenges above, in this paper, we cast the co-ranking process into a Bregman divergence optimization framework under which we transform the original random walk into an equivalent optimal kernel matrix learning problem. Enhanced by this new formulation, we derive a novel extension to achieve a better performance for both in-sample and out-of-sample cases. Extensive experiments are conducted to demonstrate the effectiveness and efficiency of our approach.

[11] Design and Assessing the Usability of an Interactive Digital Game in Assisting the Older Adult's Prescriptive Medication Behavior Culture, Health and Quality of Life / Lin, Dyi-Yih Michael / Wu, Liang-Chun CCD 2013: 5th International Conference on Cross-Cultural Design, Part II: Cultural Differences in Everyday Life 2013-07-21 v.2 p.121-126

Keywords: digital games; digital learning; human-computer interaction; cognitive aging; prescriptive medication

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Summary: Taking prescriptive medicine has been a major daily routine for many older adults. However, misused medication behavior has been reported as a major safety issue for senior welfare subject to the well-documented decline in cognitive aging. Game-based learning has been demonstrated as an effective media in enhancing cognitive functions but mostly in the fields with young adults as the subject. The present study thus aimed to investigate the usability of digital games in improving the medication behavior for older adults. The results indicated that the older subject who received the game-based learning significantly outperformed the counterpart who received the traditional treatment. Implications for designing appropriate learning media for the older adult's medication behavior were raised.

[12] Inferring dependency constraints on parameters for web services Research papers / Wu, Qian / Wu, Ling / Liang, Guangtai / Wang, Qianxiang / Xie, Tao / Mei, Hong Proceedings of the 2013 International Conference on the World Wide Web 2013-05-13 v.1 p.1421-1432

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Summary: Recently many popular websites such as Twitter and Flickr expose their data through web service APIs, enabling third-party organizations to develop client applications that provide functionalities beyond what the original websites offer. These client applications should follow certain constraints in order to correctly interact with the web services. One common type of such constraints is Dependency Constraints on Parameters. Given a web service operation O and its parameters Pi, Pj, these constraints describe the requirement on one parameter Pi that is dependent on the conditions of some other parameter(s) Pj. For example, when requesting the Twitter operation "GET statuses/user_timeline", a user_id parameter must be provided if a screen_name parameter is not provided. Violations of such constraints can cause fatal errors or incorrect results in the client applications. However, these constraints are often not formally specified and thus not available for automatic verification of client applications. To address this issue, we propose a novel approach, called INDICATOR, to automatically infer dependency constraints on parameters for web services, via a hybrid analysis of heterogeneous web service artifacts, including the service documentation, the service SDKs, and the web services themselves. To evaluate our approach, we applied INDICATOR to infer dependency constraints for four popular web services. The results showed that INDICATOR effectively infers constraints with an average precision of 94.4% and recall of 95.5%.

[13] Interactive cognitive aids in medicine Video showcase presentations / Wu, Leslie / Cirimele, Jesse / Leach, Kristen / Card, Stuart / Chu, Larry / Harrison, Kyle / Klemmer, Scott Extended Abstracts of ACM CHI'13 Conference on Human Factors in Computing Systems 2013-04-27 v.2 p.2887-2888

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Summary: Cognitive aids such as checklists have been shown to benefit medical teams working in routine and crisis environments. This video presents a team of physicians reacting to a simulated operating room emergency, demonstrating potential benefits of interactive cognitive aids in medicine.

[14] Head-mounted and multi-surface displays support emergency medical teams Posters / Wu, Leslie / Cirimele, Jesse / Bassen, Jonathan / Leach, Kristen / Card, Stuart / Chu, Larry / Harrison, Kyle / Klemmer, Scott Proceedings of ACM CSCW'13 Conference on Computer-Supported Cooperative Work 2013-02-23 v.2 p.279-282

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Summary: Emergency medical teams collaborate to solve problems and take care of patients under time pressure and high cognitive load, in noisy and complex environments. This paper presents preliminary work in the design and evaluation of head-mounted and multi-surface displays in supporting teams with interactive checklists and more generally dynamic cognitive aids.

[15] On-Line Sketch Recognition Using Direction Feature Multimodality, Cross-Platform Studies / Deng, Wei / Wu, Lingda / Yu, Ronghuan / Lai, Jiazhe Proceedings of IFIP INTERACT'13: Human-Computer Interaction-3 2013 v.3 p.259-266

Keywords: Sketched symbol recognition; NicIcon database; multi-stroke shapes

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Summary: Sketch recognition is widely used in pen-based interaction, especially as the increasing popularity of devices with touch screens. It can enhance human-computer interaction by allowing a natural/free form of interaction. The main challenging problem is the variability in hand drawings. This paper presents an on-line sketch recognition method based on the direction feature. We also present two feature representations to train a classifier. We support our case by experimental results obtained from the NicIcon database. A recognition rate of 97.95% is achieved, and average runtime is 97.6ms using a Support Vector Machine classifier.

[16] Leveraging tagging for neighborhood-aware probabilistic matrix factorization Information retrieval short paper session / Wu, Le / Chen, Enhong / Liu, Qi / Xu, Linli / Bao, Tengfei / Zhang, Lei Proceedings of the 2012 ACM Conference on Information and Knowledge Management 2012-10-29 p.1854-1858

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Summary: Collaborative Filtering (CF) is a popular way to build recommender systems and has been successfully employed in many applications. Generally, two kinds of approaches to CF, the local neighborhood methods and the global matrix factorization models, have been widely studied. Though some previous researches target on combining the complementary advantages of both approaches, the performance is still limited due to the extreme sparsity of the rating data. Therefore, it is necessary to consider more information for better reflecting user preference and item content. To that end, in this paper, by leveraging the extra tagging data, we propose a novel unified two-stage recommendation framework, named Neighborhood-aware Probabilistic Matrix Factorization (NHPMF). Specifically, we first use the tagging data to select neighbors of each user and each item, then add unique Gaussian distributions on each user's (item's) latent feature vector in the matrix factorization to ensure similar users (items) will have similar latent features}. Since the proposed method can effectively explores the external data source (i.e., tagging data) in a unified probabilistic model, it leads to more accurate recommendations. Extensive experimental results on two real world datasets demonstrate that our NHPMF model outperforms the state-of-the-art methods.

[17] Medical operating documents: dynamic checklists improve crisis attention Doctoral symposium / Wu, Leslie Adjunct Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012-10-07 v.2 p.47-50

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Summary: The attentional aspects of crisis computing -- supporting highly trained teams as they respond to real-life emergencies -- have been underexplored in the user interface community. My research investigates the development of interactive software systems that support crisis teams, with an eye towards intelligently managing attention. In this paper, I briefly describe MDOCS, a Medical operating DOCuments System built for time-critical interaction. MDOCS is a multi-user, multi-surface software system that implements dynamic checklists and interactive cognitive aids written to support medical crisis teams. I present the results of a study that evaluates the deployment of MDOCS in a realistic, mannequin-based medical simulator used by anesthesiologists. I propose controlled laboratory experiments that evaluate the feasibility and effectiveness of our design principles and attentional interaction techniques.

[18] Probability issues in locality descriptions based on Voronoi neighbor relationship / Gong, Yongxi / Wu, Lun / Lin, Yaoyu / Liu, Yu Journal of Visual Languages & Computing 2012-08 v.23 n.4 p.213-222

Keywords: Voronoi diagram

Keywords: Probability function

Keywords: Locality description

Keywords: Voronoi neighbor relationship

Link to Article at sciencedirect

Summary: Spatial relationships play an important role in spatial knowledge representation, such as in describing localities. However, little attention has been paid to how to describe the position of a target object (TO) with a qualitative referencing system that consists of a set of reference objects (ROs) in the locality description context. We propose a method that accounts for the differences between two scenarios in locality descriptions. This method is probabilistic and is based on the Voronoi neighbor relationship to determine candidate ROs for describing a given TO's position in the second scenario. The Voronoi neighbor relationship is adopted to determine candidate ROs of a TO and to compute the neighboring area of an RO. A probability function is presented to model the uncertainty of selecting appropriate ROs. To build locality descriptions that are consistent with commonsense, four constraints are placed on the probability function. Two probability functions based on Euclidean distance and stolen-area, and a mixed probability function that considers both Euclidean distance and stolen-area, are analyzed and compared. With the mixed probability function, we establish a method to construct the locality description of a given TO. Finally, three examples demonstrate how to select ROs to describe a TO's position.

[19] Maintaining shared mental models in anesthesia crisis care with nurse tablet input and large-screen displays Poster presentation / Wu, Leslie / Cirimele, Jesse / Card, Stuart / Klemmer, Scott / Chu, Larry / Harrison, Kyle Proceedings of the 2011 ACM Symposium on User Interface Software and Technology 2011-10-16 v.2 p.71-72

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Summary: In an effort to reduce medical errors, doctors are beginning to embrace cognitive aids, such as paper-based checklists. We describe the early stage design process of an interactive cognitive aid for crisis care teams. This process included collaboration with anesthesia professors in the school of medicine and observation of medical students practicing in simulated scenarios. Based on these insights, we identify opportunities to employ large-screen displays and coordinated tablets to support team performance. We also propose a system design for interactive cognitive aids intended to encourage a shared mental model amongst crisis care staff.

[20] SFViz: interest-based friends exploration and recommendation in social networks Visual Analysis II / Gou, Liang / You, Fang / Guo, Jun / Wu, Luqi / Zhang, Xiaolong (Luke) Proceedings of the 2011 International Symposium on Visual Information Communication and Interaction 2011-08-04 p.15

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Summary: Friend recommendation is popular in social network services to help people make new friends and expand their networks. Friend recommendation is either based on topological structures of a social network, or derived from profile information of users. However, dynamically recommending friends by considering both social connections and a context of social connections (e.g., similar interest) in a way of visual exploration is not well supported by existing tools. In this paper, we propose a novel visual system, SFViz (Social Friends Visualization), to support users to explore and find friends interactively under a context of interest. Our approach leverages both semantic structure of activity data and topological structures in social networks. In SFViz, a hierarchical structure of social tags is generated to help users navigate through a network of interest. Multiscale and cross-scale aggregations of similarity among people are presented in the hierarchy to support users to seek potential friends. We report a case study using SFViz to explore the recommended friends based on people's tagging behaviors in a music community, Last.fm. The results indicate that our system can enhance users' awareness of their social networks under different interest contexts, and help users seek potential friends sharing similar interests in an interactive way.

[21] A Solution of Manufacturing Resources Sharing in Cloud Computing Environment Cooperative Engineering / Wu, Lei / Yang, Chengwei CDVE 2010: International Conference on Cooperative Design, Visualization, and Engineering 2010-09-19 p.247-252

Keywords: cloud computing; service-oriented architecture; manufacturing resource share; encapsulation

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Summary: The emerging and spring up of cloud computing gives manufacturing a new solution and chance to realize resource sharing and cooperative work between enterprises for global manufacturing, the paper proposes a new service-oriented networked manufacturing model-cloud manufacturing, which is the combination of cloud computing and SOA. The resource sharing method in cloud manufacturing environment is proposed to support resource sharing and cooperative work between enterprises for global manufacturing. The description of manufacturing services and the business-driver building cloud manufacturing application method are introduced in detail. At last, we make a conclusion and put forward the future work.

[22] The effect of emoticons in simplex and complex task-oriented communication: An empirical study of instant messaging / Luor, Tainyi (Ted) / Wu, Ling-ling / Lu, Hsi-Peng / Tao, Yu-Hui Computers in Human Behavior 2010-09 v.26 n.5 p.889-895

Keywords: Instant messaging

Keywords: Task-oriented communication

Keywords: Simplex and complex communication

Keywords: Emotional effects

Keywords: Emoticons

Link to Article at sciencedirect

Summary: Many studies have shed light on general computer-mediated communication, instant messaging (IM), and emotion or emoticons, but little is known specifically about the impacts of emoticons in task-oriented IM communication in the workplace. Therefore, the current study addresses this issue by conducting an exploratory experiment to (1) categorize workplace IM messages into coherent groups, (2) identify the most commonly used emoticons (emblems) for expressing positive, negative, and neutral emotions in the case company, (3) test the differences in the emotional effects of the received text messages with and without emoticons on the reader/s, and (4) examine the intention to use emoticons in IM in the workplace. The results showed that (1) negative emoticons could cause a negative effect in both simplex and complex task-oriented communication, (2) positive emoticons only created a positive effect in complex communication and for female employees in simplex communication, and (3) there is no significant difference between task-oriented messages with or without neutral emoticon. Furthermore, the intention of using emoticons was not statistically significant in terms of gender, but it has a higher tendency on female employees. The corresponding suggestions provided by this research may help increase our understanding on the effect of emoticon use in IM in the workplace.

[23] Selective recrawling for object-level vertical search WWW posters / Zhou, Yaqian / Jiang, Mengjing / Zhang, Qi / Huang, Xuanjing / Wu, Lide Proceedings of the 2010 International Conference on the World Wide Web 2010-04-26 v.1 p.1221-1222

Keywords: recrawling, vertical search

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Summary: In this paper we propose a novel recrawling method based on navigation patterns called Selective Recrawling. The goal of selective recrawling is to automatically select page collections that have large coverage and little redundancy to a pre-defined vertical domain. It only requires several seed objects and can select a set of URL patterns to cover most objects. The selected set can be used to recrawl the web pages for quite a period of time and renewed periodically. Experiments on local event data show that our method can greatly reduce the downloading of web pages while keep the comparative object coverage.

[24] Template-independent wrapper for web forums Posters / Zhang, Qi / Shi, Yang / Huang, Xuanjing / Wu, Lide Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2009-07-19 p.794-795

Keywords: conditional random fields, crawler

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Summary: This paper presents a novel work on the task of extracting data from Web forums. Millions of users contribute rich information to Web forum everyday, which has become an important resource for manyWeb applications, such as product opinion retrieval, social network analysis, and so on. The novelty of the proposed algorithm is that it can not only extract the pure text but also distinguish between the original post and replies. Experimental results on a large number of real Web forums indicate that the proposed algorithm can correctly extract data from websites with various styles in most cases.

[25] Sixearch.org 2.0 peer application for collaborative web search Demonstrations / Lele, Namrata / Wu, Le-Shin / Akavipat, Ruj / Menczer, Filippo Proceedings of the 20th ACM Conference on Hypertext and Hypermedia 2009-06-29 p.333-334

Keywords: adaptive query routing, peer collaborative search

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Summary: Sixearch.org is a peer application for social, distributed, adaptive Web search, which integrates the Sixearch.org protocol, a topical crawler, a document indexing system, a retrieval engine, a P2P network communication system, and a contextual learning system. With a single click, the Sixearch.org application will build your personal Web collection. You can search not only your collection, but also other Sixearch peers. When you submit a query, your Sixearch agent will determine which peers are best suited to answer it based on previous interactions. Your agent will also learn from the results it receives, so that it can continuously improve.