Abstract: A system and method for classifying digital images is presented. The method includes extracting a plurality of descriptive data items of a transaction evidence from a digital image indicating a plurality of purchased items; searching in data source for informative data based on the extracted plurality of descriptive data items, wherein the informative data includes a price; determining a correlated amount for each of at least one of the plurality of descriptive data items, wherein the correlated amount determined for one of the descriptive data items defines a paid price for the descriptive data item; determining, based on at least one expense type classification rule, a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and each of the correlated amount; and classifying the digital image based on the primary expense type.

Abstract: A system and method for classifying digital images of transaction evidences. The method includes extracting a plurality of descriptive data items and a plurality of numeric values of a transaction evidence from a digital image; determining an association between at least one of the plurality of numeric values and at least one of the plurality of descriptive data items; determining, based on at least one expense type classification rule, at least a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and the plurality of numeric values; and classifying the digital image based on the determined at least one primary expense type.

Abstract: A system and method for classifying digital images is presented. The method includes extracting a plurality of descriptive data items of a transaction evidence from a digital image indicating a plurality of purchased items; searching in data source for informative data based on the extracted plurality of descriptive data items, wherein the informative data includes a price; determining a correlated amount for each of at least one of the plurality of descriptive data items, wherein the correlated amount determined for one of the descriptive data items defines a paid price for the descriptive data item; determining, based on at least one expense type classification rule, a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and each of the correlated amount; and classifying the digital image based on the primary expense type.

Abstract: A system and method for classifying digital images of transaction evidences. The method includes extracting a plurality of descriptive data items and a plurality of numeric values of a transaction evidence from a digital image; determining an association between at least one of the plurality of numeric values and at least one of the plurality of descriptive data items; determining, based on at least one expense type classification rule, at least a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and the plurality of numeric values; and classifying the digital image based on the determined at least one primary expense type.

Abstract: A system and method for determining vendor identity based on electronic documents analysis. The method includes receiving, by a computing device, a first electronic document. The first electronic document includes a plurality of textual items. The method also includes extracting, using the computing device, at least a first sequence of textual items from the plurality of textual items, determining a first approximate identity of a vendor entity that issued the first electronic document by comparing the first sequence of textual items to at least a second sequence of textual items that is associated with at least a second electronic document of a plurality of second electronic documents that was previously associated with a unique vendor entity, and extracting at least a first multiset of textual items from the plurality of textual items of the first electronic document.

Abstract: A system and method for determining vendor identity based on electronic documents analysis. The method includes receiving, by a computing device, a first electronic document. The first electronic document includes a plurality of textual items. The method also includes extracting, using the computing device, at least a first sequence of textual items from the plurality of textual items, determining a first approximate identity of a vendor entity that issued the first electronic document by comparing the first sequence of textual items to at least a second sequence of textual items that is associated with at least a second electronic document of a plurality of second electronic documents that was previously associated with a unique vendor entity, and extracting at least a first multiset of textual items from the plurality of textual items of the first electronic document.

Abstract: A computer-implemented method, a computer program product and a computerized apparatus, the method comprising: receiving a communication message transmitted to a user; automatically generating a summary of at least a part of the communication message, the summary comprising: a sender, an object description, comprising a collection of terms describing a group of communication messages including the at least part of the communication message, and content including a summarization of the at least part of the communication message, wherein the content relates to the object; and generating an audio signal based on the summary, the audio signal adapted to be played to a user, whereby providing a summarized vocal description of the at least part of the communication message.

Abstract: A method, apparatus and computer program product, the method comprising: receiving a communication message transmitted to a user associated with an organization; obtaining a user score for the communication message; applying one or more rules from a set of rules to the communication message to obtain an organization score for the communication message, wherein the rules reflect prioritization provided by the organization; and displaying to the user a set of communication messages in an order, wherein the communication messages comprise the communication message, and wherein the order is affected by the organization score of the communication message, thereby overriding an order determined in accordance with the user score.

Abstract: A communication platform for ad-hoc virtual organization. An ad-hoc virtual organization that comprises a plurality of users, at least two of which utilize different and unaffiliated message servers for handling their communication messages, is determined. Communication messages of the plurality of users are obtained, wherein the communication messages comprise all communication messages determined to be related to the ad-hoc virtual organization. The communication messages are processed to determine aggregated data. At least a portion of the aggregated data is transmitted to a client of the user, whereby the client is enabled to utilize the aggregated data to improve user experience of the user using information obtained from other users.

Abstract: A method, system and product for handling communication messages based on urgency. A communication message which was transmitted to a user is obtained. The communication message associated with a multiplicity of attributes. Based on activities of the user when handling previously received communication messages, and based on a current context of the user, an urgency score is determined. The determination comprises estimating a function of a time duration until the user is expected to perform a first action in response to receiving the communication message. A user interface of a communication system is displayed to the user. The display is affected by the urgency score.

Abstract: A system, method and product for event-based scoring of communication messages. An external event is obtained. The external event is external to a communication system through which a user received a plurality of communication messages. In response to the external event, scores to the plurality of communication messages are computed, wherein each score is computed based on a relevancy measurement of a respective communication message to the external event. A display of the communication system is provided, wherein the display is affected by the computed scores.