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Titlebook: Web-Age Information Management; WAIM 2016 Internatio Shaoxu Song,Yongxin Tong Conference proceedings 2016 Springer International Publishing

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61#
發(fā)表于 2025-4-1 01:54:06 | 只看該作者
Efficient and Load Balancing Strategy for Task Scheduling in Spatial Crowdsourcinga set of spatial tasks tagged with location and time for workers according to their location. In most cases, existing approaches usually take the matching algorithm as a fundamental step to solve this problem which aims to maximize the number of completed tasks. However, in the present of many spati
62#
發(fā)表于 2025-4-1 07:39:24 | 只看該作者
Preference-Aware Top-k Spatio-Textual Queries-textual objects ranked according to the warefare of the facilities in conditional range. Suppose a tourist that looks for motels that have nearby a highly rated Japanese restaurant that serves sushi. The proposed query considers not only the spatial location and textual description of spatial-textu
63#
發(fā)表于 2025-4-1 13:21:13 | 只看該作者
64#
發(fā)表于 2025-4-1 14:39:26 | 只看該作者
Result Diversification in Event-Based Social Networksent-based social networks (EBSNs), search result diversification in an event that covers as many user intents as possible. Most existing result diversification algorithms recognize an user may search for information by issuing the different query as much as possible. In this paper, we leverage many
65#
發(fā)表于 2025-4-1 20:54:19 | 只看該作者
Preference-Aware Top-k Spatio-Textual Queries-textual objects ranked according to the warefare of the facilities in conditional range. Suppose a tourist that looks for motels that have nearby a highly rated Japanese restaurant that serves sushi. The proposed query considers not only the spatial location and textual description of spatial-textu
66#
發(fā)表于 2025-4-1 22:45:55 | 只看該作者
Result Diversification in Event-Based Social Networksent-based social networks (EBSNs), search result diversification in an event that covers as many user intents as possible. Most existing result diversification algorithms recognize an user may search for information by issuing the different query as much as possible. In this paper, we leverage many
67#
發(fā)表于 2025-4-2 04:04:35 | 只看該作者
Conference proceedings 2016 Nanchang, China, in June 2016.The three workshops were as follows:. .? The International Workshop on Spatiotemporal Data Management and Mining for the Web (SDMMW 2016)..? The International Workshop on Semi-structured Big Data Management and Applications (SemiBDMA 2016)...? The International Worksho
68#
發(fā)表于 2025-4-2 08:44:39 | 只看該作者
An Improved Slope One Algorithm Combining KNN Method Weighted by User Similarityrs is calculated and added on the fly. Experiments on the MovieLens data set show that the proposed algorithm can achieve better recommendation quality and prediction accuracy. Besides, the stability of the algorithm is also relatively satisfying.
69#
發(fā)表于 2025-4-2 11:13:29 | 只看該作者
70#
發(fā)表于 2025-4-2 18:10:10 | 只看該作者
Using Convex Combination Kernel Function to Extract Entity Relation in Specific Fieldthe feature matrix to different high-dimensional matrix, and the different classification models can be obtained. The experiments are conducted on the domain dataset from Web and the experimental results show that our approach outperforms state-of-the-art learning models such as ME or Convolution tree kernel.
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