Query-LIFE: Query-aware Language Image Fusion Embedding for E-Commerce Relevance

Relevance module plays a fundamental role in e-commerce search as they are responsible for selecting relevant products from thousands of items based on user queries, thereby enhancing users experience and efficiency. The traditional approach models the relevance based product titles and queries, but the information in titles alone maybe insufficient to describe the products completely. A more general optimization approach is to further leverage product image information. In recent years, vision-language pre-training models have achieved impressive results in many scenarios, which leverage contrastive learning to map both textual and visual features into a joint embedding space. In e-commerce, a common practice is to fine-tune on the pre-trained model based on e-commerce data. However, the performance is sub-optimal because the vision-language pre-training models lack of alignment specifically designed for queries. In this paper, we propose a method called Query-LIFE (Query-aware Language Image Fusion Embedding) to address these challenges. Query-LIFE utilizes a query-based multimodal fusion to effectively incorporate the image and title based on the product types. Additionally, it employs query-aware modal alignment to enhance the accuracy of the comprehensive representation of products. Furthermore, we design GenFilt, which utilizes the generation capability of large models to filter out false negative samples and further improve the overall performance of the contrastive learning task in the model. Experiments have demonstrated that Query-LIFE outperforms existing baselines. We have conducted ablation studies and human evaluations to validate the effectiveness of each module within Query-LIFE. Moreover, Query-LIFE has been deployed on Miravia Search, resulting in improved both relevance and conversion efficiency

Consumption-based emission accounting for Chinese cities

Most of China’s CO2 emissions are related to energy consumption in its cities. Thus, cities are critical for implementing China’s carbon emissions mitigation policies. In this study, we employ an input-output model to calculate consumption-based CO2 emissions for thirteen Chinese cities and find substantial differences between production- and consumption-based accounting in terms of both overall and per capita carbon emissions. Urban consumption not only leads to carbon emissions within a city’s own boundaries but also induces emissions in other regions via interregional trade. In megacities such as Shanghai, Beijing and Tianjin, approximately 70% of consumption-based emissions are imported from other regions. Annual per capita consumption-based emissions in the three megacities are 14, 12 and 10 tonnes of CO2 per person, respectively. Some medium-sized cities, such as Shenyang, Dalian and Ningbo, exhibit per capita emissions that resemble those in Tianjin. From the perspective of final use, capital formation is the largest contributor to consumption-based emissions at 32–65%. All thirteen cities are categorized by their trading patterns: five are production-based cities in which production-based emissions exceed consumption-based emissions, whereas eight are consumption-based cities, with the opposite emissions pattern. Moreover, production-based cities tend to become consumption-based as they undergo socioeconomic development

Sequential regio- and diastereoselective nucleophile/electrophile addition reactions of [êta]⁶-benzaldehyde imine and [êta]⁶-benzaldehyde hydrazone tricarbonyl chromium complexes

The thesis describes the development of a new reaction sequence wich transforms aromatic compounds into regio- and stereoselectively functionalized cyclohexadienes. This is achieved through a sequential nucleophile/electrophile addition across an arene double bond. Activation to the first C-C bond forming reaction is by complexation of the arene to an electrophilic transition metal complex fragment (Cr(CO)₃). Regioselectivity is controlled by an imine substituent which directs the incoming group highly selectively to an "ortho" carbon. This combination of the use of a chiral auxiliary with organometallic methodology is highly successful and provides the basis for efficient applications in synthesis. The second step involves metal alkylation or allytation and migration of this group to the 3-position of the polyene ligand. This takes place either directly or following migratory CO insertion. An asymmetric synthesis is provided by a chiral benzaldehyde hydrazone complex. In most cases only one of the two possible diastereomers is formed

Incremental Multi-manifold Out-of-Sample Data Prediction

A lot of manifold learning algorithms have been developed, which are used to learn a low dimensional model on a manifold representing large numbers of data in high dimensionality. Multi-manifold learning algorithms have also been put forward to provide a compact representation when these data come from different classes, with different intrinsic dimensionalities. However, when unseen data samples are added to the data set, the necessity of retraining becomes a barrier to the application of multi-manifold learning algorithms as preprocessing step in predictive modeling. In this paper, an incremental out-of-sample data low dimensional coordinates prediction approach is proposed to solve the out-of-sample data problem for multi-manifold. The algorithm can learn a global low dimensional structure with randomly sampled data from each class in the first step, and can compute the low dimensional coordinates on the corresponding manifold for each new coming data effectively. The algorithm is evaluated using both synthetic and real-world datasets and the results are shown both qualitatively and quantitatively.EI

Chinese Color Preference in Software Design

Three experiments were designed to investigate the color preference of User Interface of Chinese youth. Background color and foreground color, as well as their combinations were examined. The results showed that: 1, Blue, purple, gray-blue and cyan were the more popular background color. 2, the foreground color preference was influenced by the background color, but white, yellow series and green series were all popular foreground colors for the background color of blue, purple and gray-blue. The discrimination of participants for graphic was better than that for characters. Some mechanism and implications were discussed

An approach to support stereoscopic 3D web

With the stereoscopic technology gradually maturing, realistic 3D devices are more and more popular. However, how to adapt current Web technologies to this booming trend still remains elusive. In this paper, a novel approach to support stereoscopic 3D Web is proposed that is to extend existing HTML, CSS and JavaScript languages. Under our stereoscopic 3D web model, each element in a web page can be assigned with a depth value, which is essential for the perception of 3D depth. WebKit is modified to accomplish a stereoscopic 3D web browser, and as the result turned out, each element of a web page can be seen in a truly 3D space on a stereoscopic 3D device that appears to be floating from the display surface. It is shown that this approach provided a new ground-breaking innovation for user experience. Copyright 2014 ACM.EI