Abstract: Methods for forming an EUV photoresist hard mask are provided. The method includes treating a metal-rich layer on a substrate with a reductive plasma to form a metallic surface on the metal-rich layer, the metal-rich layer having a top portion comprising a metal oxide layer. The metal-rich layer comprises one or more of tin (Sn), indium (In), gallium (Ga), zinc (Zn), tellurium (Te), antimony (Sb), nickel (Ni), titanium (Ti), aluminum (Al), tantalum (Ta), bismuth (Bi), and lead (Pb).

Abstract: A method for predicting matching degree between a resume and a post, and a related device are provided in this disclosure. In the method for predicting the matching degree between the resume and the post, and the related device according to this disclosure, firstly the semi-structured keys and values in post information and resume information and their source are obtained. Then, the matching degree between the resume information and the post information is predicted by a prediction model including a cascaded pre-trained language model, a Transformer encoder and a single label classification model, based on the keys and values of a respective post information and resume information attribute, and corresponding source representations. Thus, by comprehensively searching internal interaction and external interaction of semi-structured multivariate attributes in person-post matching, the matching result is more accurate.

Abstract: A session-based recommendation method and device according to one or more embodiments of this disclosure are provided, which use a pre-trained recommendation model to perform item recommend. The method includes following contents: a directed session graph is constructed according to a session to be predicted; the directed session graph is then input into a gated graph neural network which outputs the item embedding vector; a user's dynamic preference is determined according to a user's current preference and a first long-term preference, the current preference is an item embedding vector of a last item in the session and the first long-term preference is determined according to the item embedding vector and an importance score of the item; a prediction score of a respective item is determined according to the dynamic preference and the item embedding vector; and a recommended item is output according to the prediction score of the respective item.

Abstract: A session-based recommendation method and device according to one or more embodiments of this disclosure are provided, which use a pre-trained recommendation model to perform item recommend. The method includes following contents: a directed session graph is constructed according to a session to be predicted; the directed session graph is then input into a gated graph neural network which outputs the item embedding vector; a user's dynamic preference is determined according to a user's current preference and a first long-term preference, the current preference is an item embedding vector of a last item in the session and the first long-term preference is determined according to the item embedding vector and an importance score of the item; a prediction score of a respective item is determined according to the dynamic preference and the item embedding vector; and a recommended item is output according to the prediction score of the respective item.

Abstract: The present disclosure provides an item recommendation method and system based on importance of item in a conversation session and a system thereof. In the present disclosure, an importance extracting module extracts an importance of each item in the conversation session, and then a long-term preference of a user is obtained in combination with the importance and the corresponding item, and then a preference of the user is obtained accurately in combination with a current interest and the long-term preference of the user, and finally item recommendation is performed according to the preference of the user. In this way, the accuracy of the item recommendation is improved.

Abstract: The present disclosure provides an item recommendation method and system based on a user intention in a conversation session. In this method, a current conversation session is encoded by use of items of prior time sequence and the last item so as to generate an accurate conversation session representation which is then used to perform initial item prediction as a user intention. Afterwards, an intention-guided neighbor detector is used to locate an accurate neighbor conversation session. Finally, the current conversation session and the neighbor conversation session representations are combined adaptively by a gated mixed layer to generate the final item recommendation, so as to effectively improve the accuracy of item recommendation.

Abstract: The present disclosure provides an item recommendation method and system based on a user intention in a session. In this method, a current session is encoded by use of items of prior time sequence and the last item so as to generate an accurate session representation which is then used to perform initial item prediction as a user intention. Afterwards, an intention-guided neighbor detector is used to locate an accurate neighbor session. Finally, the current session and the neighbor session representations are combined adaptively by a gated mixed layer to generate the final item recommendation, so as to effectively improve the accuracy of item recommendation.

Abstract: The present disclosure provides an item recommendation method based on importance of item in a session and a system thereof. In the present disclosure, an importance extracting module extracts an importance of each item in the session, and then a long-term preference of a user is obtained in combination with the importance and the corresponding item, and then a preference of the user is obtained accurately in combination with a current interest and the long-term preference of the user, and finally item recommendation is performed according to the preference of the user.

Abstract: A tool configured for adjusting a plurality of pressing heads of an auxiliary welding machine and a method for operating the same are disclosed. The tool includes: a support; a limiting mechanism disposed on the support, wherein the limiting mechanism has a limiting groove for receiving a top end of at least one of the plurality of pressing head. It is possible to adjust the plurality of pressing heads of the auxiliary welding machine more conveniently and accurately using the above tool.

Abstract: The disclosed technology includes techniques for improving data privacy in mobile communications over public cloud services. According to certain implementations, a novel conceptual layer may be interposed between the “application” layer and the “user” layer. In some implementations, the conceptual layer may be at least partially embodied by a transparent window or pane overlaid on top of existing app graphical user interfaces to: (1) intercept plaintext user input before transforming the input and feeding it to an underlying app; and (2) reverse transform output data from the app before displaying the plaintext data to the user. Accordingly, the conceptual layer may serve as a protective layer while preserving the original application workflow and look-and-feel.

Abstract: A tool configured for adjusting a plurality of pressing heads of an auxiliary welding machine and a method for operating the same are disclosed. The tool includes: a support; a limiting mechanism disposed on the support, wherein the limiting mechanism has a limiting groove for receiving a top end of at least one of the plurality of pressing head. It is possible to adjust the plurality of pressing heads of the auxiliary welding machine more conveniently and accurately using the above tool.

Abstract: The disclosed technology includes techniques for improving data privacy in mobile communications over public cloud services. According to certain implementations, a novel conceptual layer may be interposed between the “application” layer and the “user” layer. In some implementations, the conceptual layer may be at least partially embodied by a transparent window or pane overlaid on top of existing app graphical user interfaces to: (1) intercept plaintext user input before transforming the input and feeding it to an underlying app; and (2) reverse transform output data from the app before displaying the plaintext data to the user. Accordingly, the conceptual layer may serve as a protective layer while preserving the original application workflow and look-and-feel.

Abstract: Aspects of the subject disclosure are directed towards efficiently and securely capturing virtual machine memory checkpoints via a post-copy scheme that runs outside of the virtual machines. To reduce the volume of data that has to be captured a dictionary of cryptographic hashes of pages captured in previous checkpoints is used, so that pages already in the dictionary may be represented by the hash value in the current checkpoint. Further, unused memory is identified by leveraging virtual machine introspection techniques outside the virtual machine to walk guest process lists and page tables.