標(biāo)題: Titlebook: Web Information Systems Engineering -- WISE 2013; 14th International C Xuemin Lin,Yannis Manolopoulos,Guangyan Huang Conference proceedings [打印本頁] 作者: ARGOT 時(shí)間: 2025-3-21 17:11
書目名稱Web Information Systems Engineering -- WISE 2013影響因子(影響力)
書目名稱Web Information Systems Engineering -- WISE 2013影響因子(影響力)學(xué)科排名
書目名稱Web Information Systems Engineering -- WISE 2013網(wǎng)絡(luò)公開度
書目名稱Web Information Systems Engineering -- WISE 2013網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Web Information Systems Engineering -- WISE 2013被引頻次
書目名稱Web Information Systems Engineering -- WISE 2013被引頻次學(xué)科排名
書目名稱Web Information Systems Engineering -- WISE 2013年度引用
書目名稱Web Information Systems Engineering -- WISE 2013年度引用學(xué)科排名
書目名稱Web Information Systems Engineering -- WISE 2013讀者反饋
書目名稱Web Information Systems Engineering -- WISE 2013讀者反饋學(xué)科排名
作者: GEAR 時(shí)間: 2025-3-21 23:22 作者: 吹氣 時(shí)間: 2025-3-22 03:56 作者: ironic 時(shí)間: 2025-3-22 08:29
Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernelsle and interaction information. The proposed model takes an uniformed approach of integrating . with .. We conduct experiments on real-world data sets for typical web mining applications, showing that the proposed model produces better relationship strength measurement in comparison with other social factors.作者: 一瞥 時(shí)間: 2025-3-22 10:41 作者: liaison 時(shí)間: 2025-3-22 13:43 作者: 注射器 時(shí)間: 2025-3-22 18:33
Recommending Tripleset Interlinking through a Social Network Approachhis problem, this paper proposes a recommendation approach for this scenario, using a Social Network perspective. The experimental results show that the proposed approach obtains high levels of recall and reduces in up to 90% the number of triplesets to be further inspected for establishing appropriate links.作者: 完全 時(shí)間: 2025-3-22 22:18
Recommending Tripleset Interlinking through a Social Network Approachhis problem, this paper proposes a recommendation approach for this scenario, using a Social Network perspective. The experimental results show that the proposed approach obtains high levels of recall and reduces in up to 90% the number of triplesets to be further inspected for establishing appropriate links.作者: Musculoskeletal 時(shí)間: 2025-3-23 02:11 作者: inchoate 時(shí)間: 2025-3-23 07:59 作者: 初次登臺 時(shí)間: 2025-3-23 12:52
Authenticating Users of Recommender Systems Using Naive Bayesext, we analyze its usability and security for knowledge sources under possible guessing strategies and experimentally evaluate its performance in real datasets. And the proposed scheme is practical in recommender systems.作者: hauteur 時(shí)間: 2025-3-23 17:14
Authenticating Users of Recommender Systems Using Naive Bayesext, we analyze its usability and security for knowledge sources under possible guessing strategies and experimentally evaluate its performance in real datasets. And the proposed scheme is practical in recommender systems.作者: hematuria 時(shí)間: 2025-3-23 20:14
Conference proceedings 2013 data engineering and database; semi-structured data and modeling; Web data integration and hidden Web; challenge; social Web; information extraction and multilingual management; networks, graphs and Web-based business processes; event processing, Web monitoring and management; and innovative techniques and creations.作者: helper-T-cells 時(shí)間: 2025-3-24 00:32 作者: abysmal 時(shí)間: 2025-3-24 03:27 作者: 糾纏,纏繞 時(shí)間: 2025-3-24 10:14 作者: MOCK 時(shí)間: 2025-3-24 14:09 作者: MAUVE 時(shí)間: 2025-3-24 14:54
Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernelstions of social network analysis. The challenge is how we can learn social relationship strength based on various resources such as user profiles and social interactions. In this paper we propose a . model to learn social relationship strength based on users’ latent features inferred from both profi作者: 現(xiàn)暈光 時(shí)間: 2025-3-24 19:29
NEXIR: A Novel Web Extraction Rule Language toward a Three-Stage Web Data Extraction Model, although a lot of data mining or analysis techniques have been studied in last decade, there are still not many easy-to-use web data mining tools available for users to extract useful data information from the Web. The web information extraction is a whole process involving web page navigation, da作者: 變形 時(shí)間: 2025-3-25 00:28 作者: outskirts 時(shí)間: 2025-3-25 06:58
Heterogeneous Metric Learning for Cross-Modal Multimedia Retrievalal where users submit queries of one media type and get results of various other media types. Performing effective retrieval of heterogeneous multimedia content brings new challenges. One essential aspect of these challenges is to learn a . between different types of multimedia objects. In this pape作者: 首創(chuàng)精神 時(shí)間: 2025-3-25 08:32 作者: Ballad 時(shí)間: 2025-3-25 11:44
Efficient Online Novelty Detection in News Streamsn a cell phone. An efficient novelty detection algorithm can save the user a great deal of time when accessing interesting information. Most of the recent research for the detection of novel documents in text streams uses either geometric distances or distributional similarities with the former typi作者: 宮殿般 時(shí)間: 2025-3-25 17:56 作者: mechanism 時(shí)間: 2025-3-25 21:22
Detecting Opinion Drift from Chinese Web Comments Based on Sentiment Distribution Computinglyze their reasons, is an important problem for Web public opinion analysis. To tackle this problem, an approach of opinion drift detection for Chinese Web comment is proposed. For a comment set during a long time about a hot event, the proposed approach first determines possible drift timestamps ac作者: enflame 時(shí)間: 2025-3-26 03:41
Detecting Opinion Drift from Chinese Web Comments Based on Sentiment Distribution Computinglyze their reasons, is an important problem for Web public opinion analysis. To tackle this problem, an approach of opinion drift detection for Chinese Web comment is proposed. For a comment set during a long time about a hot event, the proposed approach first determines possible drift timestamps ac作者: 畫布 時(shí)間: 2025-3-26 07:25 作者: 凝視 時(shí)間: 2025-3-26 09:40
Feature Extraction from Micro-blogs for Comparison of Products and Servicescts (e.g., two different brands of mobile phones), can we make them comparable to each other? In this paper, we show our system namely ., a novel social network analyser designed to collect opinions from Twitter micro-blogs about two given similar products for an effective comparison between them. T作者: infringe 時(shí)間: 2025-3-26 16:28
Directional Context Helps: Guiding Semantic Relatedness Computation by Asymmetric Word Associationsing from computational linguistics to cognitive psychology. In all existing approaches, relatedness is assumed to be symmetric i.e. the relatedness of terms .. and term .. is considered the same as the relatedness of terms .. and ... However, there are tasks such as free word association, where the 作者: 個(gè)人長篇演說 時(shí)間: 2025-3-26 18:08 作者: 繁榮中國 時(shí)間: 2025-3-26 21:23 作者: 詞根詞綴法 時(shí)間: 2025-3-27 04:54 作者: Morbid 時(shí)間: 2025-3-27 08:40
Exploiting User Queries for Search Result Clustering the user, the different cluster should contain the results corresponding to different possible meanings of the user query and the cluster labels should reflect these meanings. However, existing SRC algorithms often ignore the user query and group the results based just on the similarity of search r作者: Mangle 時(shí)間: 2025-3-27 12:09
Exploiting User Queries for Search Result Clustering the user, the different cluster should contain the results corresponding to different possible meanings of the user query and the cluster labels should reflect these meanings. However, existing SRC algorithms often ignore the user query and group the results based just on the similarity of search r作者: 勛章 時(shí)間: 2025-3-27 14:56 作者: Alpha-Cells 時(shí)間: 2025-3-27 21:34
Towards Context-Aware Social Recommendation via Trust Networkstion models cannot well handle the heterogeneity and diversity of the social relationships (e.g., different friends may have different recommendations on the same items in different situations). Furthermore, few models take into account (non-social) contextual information, which has been proved to b作者: Aphorism 時(shí)間: 2025-3-28 01:07
Personalized Recommendation on Multi-Layer Context Graphecommender systems, but most existing approaches only focus on user and item dimensions and neglect any additional contextual information, such as time and location. In this paper, we propose a Multi-Layer Context Graph (MLCG) model which incorporates a variety of contextual information into a recom作者: NADIR 時(shí)間: 2025-3-28 02:17 作者: Parley 時(shí)間: 2025-3-28 08:23
Recommending Tripleset Interlinking through a Social Network Approachipleset is a non-trivial task in the publishing process. Without prior knowledge about the entire Web of Data, a data publisher must perform an exploratory search, which demands substantial effort and may become impracticable, with the growth and dissemination of Linked Data. Aiming at alleviating t作者: 迫擊炮 時(shí)間: 2025-3-28 12:46 作者: lactic 時(shí)間: 2025-3-28 18:33
Improving Rocchio Algorithm for Updating User Profile in Recommender Systems in the vector space model. Since in most content-based recommender systems, items and user profile are represented as vectors in a specific vector space, Rocchio algorithm is exploited for learning and updating user profile. In this paper we show how to improve the Rocchio algorithm by distinguishi作者: 破裂 時(shí)間: 2025-3-28 20:03 作者: Lucubrate 時(shí)間: 2025-3-28 23:30
Time-Aware Travel Attraction Recommendation the geo-related information to infer possible locations that tourists may be interested in. However, the temporal information, such as the date and time when the photo was taken, associated with these photos are not taken into account by most of existing works. We advocate that this information giv作者: Cumulus 時(shí)間: 2025-3-29 05:58 作者: originality 時(shí)間: 2025-3-29 10:44 作者: manifestation 時(shí)間: 2025-3-29 14:02
CGMF: Coupled Group-Based Matrix Factorization for Recommender Systemf the users that have close social relations with the given user. The underlying assumption is that a user’s taste is similar to his/her friends’ in social networking. In fact, users enjoy different groups of items with different preferences. A user may be treated as trustful by his/her friends more作者: TAP 時(shí)間: 2025-3-29 19:00
Authenticating Users of Recommender Systems Using Naive Bayes hold abundant personalized data that are valuable for KBA. This paper studies how to authenticate users with abundant rating data in recommender systems. For this, we propose a measurable user authentication scheme for recommender systems with secure personalized data under the Naive Bayes model. N作者: 蕨類 時(shí)間: 2025-3-29 22:19 作者: 不愿 時(shí)間: 2025-3-30 01:12
Taxonomy Based Personalized News Recommendation: Novelty and Diversitynder systems have put their emphasis on the accuracy of finding the most similar items according to a user’s profile, while often ignoring other aspects that may affect users’ experiences in practice, e.g., the novelty and diversity issues within a recommendation list. In this paper, we focus on uti作者: Lipoma 時(shí)間: 2025-3-30 06:30
Taxonomy Based Personalized News Recommendation: Novelty and Diversitynder systems have put their emphasis on the accuracy of finding the most similar items according to a user’s profile, while often ignoring other aspects that may affect users’ experiences in practice, e.g., the novelty and diversity issues within a recommendation list. In this paper, we focus on uti作者: Harness 時(shí)間: 2025-3-30 09:48 作者: BILK 時(shí)間: 2025-3-30 15:52
Distinguishing Social Ties in Recommender Systems by Graph-Based Algorithmserformance. When predicting ratings for an active user, his/her taste is influenced by the ones of his/her friends. Intuitively, different friends have different influential power to the active user. Most existing social recommendation algorithms, however, fail to consider such differences, and unfa作者: Water-Brash 時(shí)間: 2025-3-30 20:15 作者: 出汗 時(shí)間: 2025-3-30 22:16
Entity Correspondence with Second-Order Markov Logicions between properties and enable interaction between entity correspondence and property relation discovery. We also prove that second-order Markov Logic can be rephrased to first-order in practice. Experiments on a real world knowledge base show promising entity correspondence results, particularly in recall.作者: Interim 時(shí)間: 2025-3-31 04:42
Entity Correspondence with Second-Order Markov Logicions between properties and enable interaction between entity correspondence and property relation discovery. We also prove that second-order Markov Logic can be rephrased to first-order in practice. Experiments on a real world knowledge base show promising entity correspondence results, particularly in recall.作者: Urologist 時(shí)間: 2025-3-31 06:17 作者: 冰河期 時(shí)間: 2025-3-31 12:40
Heterogeneous Metric Learning for Cross-Modal Multimedia Retrievalg the smoothness of learning results, we integrate graph regularization with Bayesian personalized ranking. The experimental results on two publicly available datasets show the effectiveness of our method.作者: Factorable 時(shí)間: 2025-3-31 14:34
Efficient Online Novelty Detection in News Streamsdocuments in the text stream, thus leading to faster execution times. At the same time, our proposed approach outperforms several commonly used baselines when applied on a real-world news articles dataset.作者: harbinger 時(shí)間: 2025-3-31 18:50 作者: Flagging 時(shí)間: 2025-4-1 00:47
Detecting Opinion Drift from Chinese Web Comments Based on Sentiment Distribution Computing in a real comment set of Chinese forum. The results show that drift timestamps determined and opinion drifts detected correspond to the real event, so the approach proposed in this paper is feasible and effective in the application of Web public opinion analysis.作者: archenemy 時(shí)間: 2025-4-1 05:48
Detecting Opinion Drift from Chinese Web Comments Based on Sentiment Distribution Computing in a real comment set of Chinese forum. The results show that drift timestamps determined and opinion drifts detected correspond to the real event, so the approach proposed in this paper is feasible and effective in the application of Web public opinion analysis.作者: epicondylitis 時(shí)間: 2025-4-1 07:49 作者: 愛管閑事 時(shí)間: 2025-4-1 10:16
Exploiting User Queries for Search Result Clusteringthat exploits the user query and uses both syntactic and semantic features of the search results to construct clusters and labels. Experiments show that the query senses are good candidates for the cluster labels and the algorithm can lead to high quality cluster and more semantically meaningful labels than other state-of-the-art algorithms.作者: 言外之意 時(shí)間: 2025-4-1 17:52
Taxonomy Based Personalized News Recommendation: Novelty and Diversityl, but potentially related items into the list, and filter out redundant ones. The experimental results show that the coarse grained knowledge resources can help a content-based news recommender system provides accurate as well as user-oriented recommendations.作者: MUTED 時(shí)間: 2025-4-1 18:49
Taxonomy Based Personalized News Recommendation: Novelty and Diversityl, but potentially related items into the list, and filter out redundant ones. The experimental results show that the coarse grained knowledge resources can help a content-based news recommender system provides accurate as well as user-oriented recommendations.作者: 健壯 時(shí)間: 2025-4-1 23:32
The Heterogeneous Cluster Ensemble Method Using Hubness for Clustering Text Documentsgory. A final clustering solution is obtained by exploiting associations between document pairs and . of the documents. Empirical analysis with various real data sets reveals that the proposed method outperforms state-of-the-art text clustering approaches.作者: CAMP 時(shí)間: 2025-4-2 04:57
The Heterogeneous Cluster Ensemble Method Using Hubness for Clustering Text Documentsgory. A final clustering solution is obtained by exploiting associations between document pairs and . of the documents. Empirical analysis with various real data sets reveals that the proposed method outperforms state-of-the-art text clustering approaches.作者: 鈍劍 時(shí)間: 2025-4-2 10:52
Youliang Zhong,Lan Du,Jian Yangbisher zu diesem Thema geschehen erforderlich. Nach einer wissenschaftlichen Umfrage ist 2/3 der Deutschen das Konzept eines bedingungslosen Grundeinkommens bekannt. 15?% aller Deutschen würden bei einem Grundeinkommen von 1500?€ pro Monat ihren Job kündigen. über 75?% der Berufst?tigen würden in je作者: 范例 時(shí)間: 2025-4-2 12:59
Shengsheng Shi,Wu Wei,Yulong Liu,Haitao Wang,Lei Luo,Chunfeng Yuan,Yihua Huangst von seinem Ziel. Die Grundlage für Innovation ist Imagination, die Vorstellung und der Wille, dass etwas anders, dass etwas Neues in die Welt kommt. Hannah Arendt beginnt ihr Buch . mit einem inspirierenden Gedanken: ?Wie kann man nur angesichts dieser und ?hnlicher Tatbest?nde“, gemeint ist der 作者: 表否定 時(shí)間: 2025-4-2 15:31 作者: 呼吸 時(shí)間: 2025-4-2 20:56
Jun Deng,Liang Du,Yi-Dong Shenn aus. Theoretischk?nnte man dies mit dem hierfür ausgeführten Finanzplan innerhalb eines Jahres als Gesetzespaket verabschieden..Einfach sind die ?nderungen des Erbschaftsteuerregimes parlamentarisch zu bew?ltigen. Hier werden von den insgesamt 37 Paragrafen nur 4 Paragrafen von vorgenannter Regime作者: FLING 時(shí)間: 2025-4-3 03:30
Jun Deng,Liang Du,Yi-Dong Shenesellschaftliche Problemlagen klarer aufscheinen lassen. So wurden zun?chst zeitlich befristet im Feld der Arbeitsmarkt- und Sozialpolitik eine bedingungsarme Grundsicherung etabliert, die einige Funktionsdefizite der traditi-onellen arbeitsmarktpolitischen Ma?nahmen wenigstens tempor?r überwindet. 作者: 美麗的寫 時(shí)間: 2025-4-3 05:44 作者: 燈泡 時(shí)間: 2025-4-3 08:21 作者: 懶惰人民 時(shí)間: 2025-4-3 14:37
